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Executive Summary

Request for Authorization to Implement the MS and PhD in Biosystems Analytics & Technology

Requested by The Department of Biosystems Engineering CIP Code 15.1199 Engineering-Related Technologies, Other Purpose of Program

The purpose of the program is to prepare students for an array of career choices from academia to industry, with resume-ready, real-world experience in combining biological, physical, and data sciences with technology and ability to apply these tools to environmental, ecological, biological, agricultural, and human systems through their electives. Our uniquely qualified faculty are cross-trained in teaching, research, and extension in sustainable Earth systems engineering and data science. In particular, the program focuses on large-scale data from environmental –omics, remote sensing and precision observation, sensors and controls, and human metagenomics to address important global questions at the food-water-energy-nexus in our changing world. The curriculum is designed to further develop students’ skills to bridge the data science and engineering/ technology gap and allow students to develop more intently on a particular skill set (analytics or technology) or within an area of interest (remote sensing, water resources, precision agriculture, or renewable energy to name just a few). These proposed graduate programs also fit seamlessly into the National Science Foundation’s Computational and Data-Enabled Science and Engineering program criteria.

5-year projected annual enrollment

1st year 2nd year 3rd year 4th year 5th year 7 12 18 23 28

Source(s) of Funding tuition

Approvals:

ABOR pending June 2019 Undergraduate Council N/A Graduate Council pending 4/19/2019 CAAC 3/26/2019 Provost’s Council pending 4/29/ 2019 Faculty Senate

For use by Curricular Affairs: ☐ Create approval memo ☐ Send memo to college/dept and acad_org listserv ☐ Create UAccess Plan Table code(s) (secondary?)

☐Upload approval memo and proposal documents to UAccess Plan Table ☐ Notify acad_org of the plan code creation ☐ Notify ADVIP team ☐ Update API, if necessary

New Academic Program Workflow Form

General

Proposed Name: Biosystems Analytics & Tech

Transaction Nbr: 00000000000024

Plan Type: Major

Academic Career: Graduate

Degree Offered: Doctor of Philosophy

Do you want to offer a minor? N

Anticipated 1st Admission Term: Fall 2019

Details

Department(s):

AGSC DEPTMNT ID DEPARTMENT NAME HOST1230 Biosystems Engineering Y

Campus(es):

MAIN LOCATION DESCRIPTIONTUCSON Tucson

Admission application terms for this plan: Spring: Y Summer: N Fall: Y

Plan admission types:

Freshman: N Transfer: N Readmit: N Graduate: N

Non Degree Certificate (UCRT only): Y

Other (For Community Campus specifics): Y

We would like to have two Graduate program MS and Ph.D. under the Biosystems Analytics & Technology (BAT) program name.

Plan Taxonomy: 15.1199, Engineering-Related Technologies, Other.

Program Length Type: Program Length Value: 0.00

Report as NSC Program:

SULA Special Program:

Print Option:

Diploma: Y M.S. in Biosystems Analytics & Technology Ph.D. in Biosystems Analytics & Technology

Transcript: Y M.S. in Biosystems Analytics & Technology Ph.D. in Biosystems Analytics & Technology

Conditions for Admission/Declaration for this Major:

Complete Graduate College application, M.S. in Biosystems Analytics & Technology GPA 3.0Complete Graduate College application, Ph.D. in Biosystems Analytics & Technology GPA 3.30

Requirements for Accreditation:

N/A

Program Comparisons

University Appropriateness

This proposed graduate (and associated undergraduate) degree program is at the intersection of science, technology, and analytics. It is aligned with the University of Arizona's new Strategic Plan as it addresses: (1) creating a major focused on serving projected needs by the 4th Industrial Revolution emphasizing big data analytical skills (Initiative 1.5B) and (2) providing an enhanced pipeline and pathway for transfer students to be successful at the UA because of the number of free electives that can be used (Initiative 1.1B). This graduate programalso aligns with the College of Agriculture and Life Sciences Strategic Plan to produce employable graduates that can be successful in today's workforce but will have the skills to succeed in future jobs that do not yet exist. The workforce of today and tomorrow needs a foundation in the sciences and computing, and an understanding of large data sets ¿ how to manipulate, mine, manage, and ultimately to inform decisions. The reasons that the Biosystems Engineering Department is the most appropriate location within the Arizona University Systemfor the BAT program are because: 1.UA is the Land Grant University in Arizona where the mission is to engage withpeople through applied research and education to improve lives, families, communities, the environment, and economies in Arizona and beyond. The proposed degree is highly applied and seeks to provide the skill sets for our graduates in the context of data and technology for biosystems.2.This proposed program (along with the undergraduate degree program) aligns directly with the University of Arizona administration's focus on preparing and

fostering careers that will meet the needs of the 4th Industrial Revolution. 3.CALS is investing in and preparing for the wide-scale adoption of cyber technologies for faculty and students. We will be using those technologies in our classes (BE 534 for example).

Arizona University System

NBR PROGRAM DEGREE #STDNTS LOCATION ACCRDT

Peer Comparison

Faculty & Resources

Faculty

Current Faculty:

INSTR ID NAME DEPT RANK DEGREE FCLTY/%01875717 Jana Uren 1230 Assit. Prof Doctor of

Philosophy.30

02565087 Bonnie Hurwitz

1230 Assoc. Prof Doctor of Philosophy

.20

02706391 Muluneh Yitayew

1230 Professor Doctor of Philosophy

.15

05305308 Akrum Tamimi 1230 Assit. Prof. Pract.

Doctor of Philosophy

.15

07800333 Peter Waller 1230 Assoc. Prof Doctor of Philosophy

.15

10506789 Kathryn Farrell-Poe


.10

11706609 Kamel Didan 1230 Assoc. Prof Doctor of Philosophy

.15

14701441 Jeong-Yeol Yoon


.10

17201296 Lingling An 1230 Assoc. Prof Doctor of Philosophy

.30

22061043 Haiquan Li 1230 Assit. Prof Doctor of Philosophy

.30

Additional Faculty:

No additional faculty needed in the next three years.

Current Student & Faculty FTE

DEPARTMENT UGRD HEAD COUNT GRAD HEAD COUNT FACULTY FTE1230 56 35 2.25

Projected Student & Faculty FTE

UGRD HEAD COUNT GRAD HEAD COUNT FACULTY FTEDEPT YR 1 YR 2 YR 3 YR 1 YR 2 YR 3 YR 1 YR 2 YR 31230 20 35 50 7 12 18 2.25 2.25 2.25

Library

Acquisitions Needed:

none

Physical Facilities & Equipment

Existing Physical Facilities:

Shantz Building (#38), Rooms 338 and 440. In addition we will be requesting collaborative classrooms.

Additional Facilities Required & Anticipated:

none

Other Support

Other Support Currently Available:

Academic Advisor, Sr. I: 0.1 FTE year 1; 0.2 FTE year 2; 0.3 FTE year 3.

Other Support Needed over the Next Three Years:

N/A

Comments During Approval Process

11/27/2018 1:58 PMDAVAJ CommentsWe are also including the MS proposal along with the Ph.D proposal. The MS will not be a terminal degree.

12/5/2018 1:31 PMDAVAJ CommentsWe are also including the MS program in the proposal. The MS program will not be a terminal degree.

12/20/2018 4:11 PMDAVAJ CommentsWe wish to offer a terminal MS for the PhD students who are not able to complete the PhD requirements. We also want to offer a MS that will all students to complete a PhD after completion of the degree.

12/21/2018 3:43 PMKITTFP CommentsApproved.

12/21/2018 3:45 PMJEH CommentsApproved.

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NEW ACADEMIC PROGRAM-GRADUATE MAJOR ADDITIONAL INFORMATION FORM

I. PURPOSE AND NATURE OF MAJOR–provide a description for the proposed program.

Include the purpose, nature, and program highlights. The description must match departmental and college websites, handouts, etc.

The Biosystems Analytics & Technology (BAT) curriculum is intended to prepare students for careers in the 4th Industrial Revolution which is the intersection of science, technology, and analytics. Meeting the grand challenges of tomorrow will require a convergence of new ideas, approaches, and technologies from diverse disciplines. The graduate program in Biosystems Analytics & Technology builds upon the foundation laid in the undergraduate program in the sciences (3 years), technology (2 years), and analytics (3 years). Graduate students in the program will be able to use those foundational tools to further develop their skills in meeting technology and data challenges in precision agriculture, remote sensing, water management, statistical informatics, data-mining, and cyberinfrastructure development. Given massive unstructured “big data” streaming from sensors, controls, cloud repositories, and the interactive web, data-driven discovery is now possible.

Still, converting this knowledge into action to solve real-world problems in the life sciences requires a merger of data science, biology and physics, and applied engineering (also known as the 4th Industrial Revolution). These efforts require innovative and integrated educational pathways in applied statistics, computer science, and engineering technology. The Biosystems Engineering department is well-positioned to bring together these interdisciplinary skills into a solid program in the life sciences and this emerging program in Biosystems Analytics & Technology: 4 faculty in water resources, 6 faculty in the analytics of biological data, 5 faculty in modeling and sensors for agriculture and bioreactors, and 4 faculty in field-level precision agriculture (note that some of the faculty have more than one area of expertise). The goal of this proposed program is to create an inspirational and transformative training experience that integrates intellectual merit with “real world” hands-on experiences across disciplines (genomics, precision agriculture, data science, and engineering technology); scales (molecules to models); and trainees (from undergraduate students to graduate students).

With the backdrop of the new information age, these emerging areas of engineering technology and applied data science warrant the need for a new program in Biosystems Analytics & Technology. This program will train students to take a true systems-level approach to understanding the relationships across food, water, and energy for a

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sustainable future by providing skills in sensors and remote sensing (data acquisition), statistics and bioinformatics (data management and analytics), and applying these tools to solve real-world problems.

Purpose of the Biosystems Analytics & Technology Graduate Program

The purpose of the Biosystems Analytics & Technology Program is to serve the growing field of technology/biology/analytics. The program will prepare students for an array of career choices from academia to industry, with resume-ready, real-world experience in combining biological, physical, and data sciences with technology and ability to apply these tools to environmental, ecological, biological, agricultural, and human systems through their electives. Our uniquely qualified faculty, cross-trained in teaching, research, and extension in sustainable Earth systems engineering (16 faculty) and data science (4 faculty), have the capacity to develop this distinctive program for the UA to become a national leader. In particular, the program focuses on large-scale data from environmental –omics (Drs. An, Hurwitz, U’Ren), remote sensing and precision observation (Drs. Didan and Andrade-Sanchez), sensors and controls (Drs. Kacira, Tollefson, Waller, Cuello, Andrade-Sanchez, Siemens, and Yoon), and human metagenomics (Drs. An, Hurwitz, and Li) to address important global questions at the food-water-energy-nexus in our changing world. To this end, we propose to have a curriculum that further develops students’ skills to bridge the data science and engineering/ technology gap and allow students to develop more intently on a particular skill set (analytics or technology) or within an area of interest (remote sensing, water resources, precision agriculture, or renewable energy to name just a few).

Highlights

These proposed graduate degree programs (Master’s and Doctoral) are the nexus of science, technology, and analytics. It is aligned with the developing University of Arizona Strategic Plan as it addresses creating a major with the 4th Industrial Revolution in mind to develop mastery of digital and analytical skills (Initiative 1.5B). The proposed graduate programs also align with the College of Agriculture and Life Sciences Strategic Plan to produce employable graduates, who can do jobs that do not yet exist and create new jobs. These proposed graduate programs also fit seamlessly into the National Science Foundation’s Computational and Data-Enabled Science and Engineering program criteria:

• Promote the creation, development, and application of the next generation of mathematical, computational and statistical theories and tools that are essential for addressing the challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation and the explosion and production of digital experimental and observational data.

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• Promote and encourage integrated research projects that create, develop and apply novel computational, mathematical and statistical methods, algorithms, software, data curation, analysis, visualization and mining tools to address major, heretofore intractable questions in core science and engineering disciplines, including large-scale simulations and analysis of large and heterogeneous collections of data.

• Encourage adventurous ideas that generate new paradigms and that create and apply novel techniques, generating and utilizing digital data in innovative ways to complement or dramatically enhance traditional computational, experimental, observational, and theoretical tools for scientific discovery and application.

• Encourage ideas at the interface between scientific frameworks, computing capability, measurements and physical systems that enable advances well beyond the expected natural progression of individual activities, including development of science-driven algorithms to address pivotal problems in science and engineering and efficient methods to access, mine, and utilize large data sets.

The reasons that the University of Arizona is the most appropriate location within the Arizona University System for the BAT program are because 1) UA is the Land Grant University in Arizona where the mission is to engage with people through applied research and education to improve lives, families, communities, the environment, and economies in Arizona and beyond. 2) These proposed programs align directly with President Robbins’ focus to develop, prepare, and foster careers to meet the needs of the 4th Industrial Revolution. 3) CALS is investing in and preparing for the wide-scale adoption of cyber technologies for faculty and students.

To be considered for the M.S. program, the candidate must hold a B.S. degree. To be considered for the Ph.D. program, the candidate must hold a B.S. and/or M.S. degree. In addition to general Graduate College application requirements, the Ph.D. in Biosystems Analytics & Technology requires that students admitted have a GPA of a 3.0 or higher on scale of 4.0 for the M.S. program and 3.3 for the Ph.D. program. The GRE exam is required and the scores will be included for consideration along with the applicant’s GPA, letters of support, and candidate statement.

In addition to the academic requirements for all applicants, the Graduate College also has additional requirements for international students: must satisfy English proficiency, financial guarantee, and health insurance requirements.

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II. MAJOR REQUIREMENTS– complete the table below to list the major requirements, including minimum number of credit hours, required core, electives, and any special requirements, including sub-plans, thesis, internships, etc. Note: information in this section must be consistent throughout the proposal documents (comparison charts, department checklists, curricular/assessment map, etc.). Delete the EXAMPLE column before submitting/uploading. Complete appropriate table found in Appendix A if requesting a corresponding master’s degree (for PhD proposals) and/or minor.

Total units required to complete degree (minimum)

63

Pre-admissions expectations (i.e. academic training to be completed prior to admission)

Earned bachelor’s degree.

Major requirements (list all required coursework including core, electives, sub-plan coursework, etc.). Courses listed must include course prefix, number, units, and title. Mark new coursework (New). Include any limits/restrictions needed (house number limit, etc.). Provide email(s)/letter(s) of support from home department head(s) for courses not owned by your department.

Complete 16 units of core coursework: -STAT 571B (3) Design of Experiments -BE/ABE 513 (4) Applied Biostatistics -BE/ABE 534 (3) Biosystems Analytics -BE/ABE 585 (3) Remote Sensing Data and Methods -ENVS 508 (3) Scientific Writing for Environmental, Agricultural, and Life Sciences Complete 11 units of theory and methods coursework from the following list: -BE/ABE 501 (2) Research Methods in Biosystems Engineering -BE/ABE 693 (1) Internship (to be used to satisfy teaching experience requirement) -BE/ABE 696A (4) Agricultural and Biosystems Engineering -BE/ABE 696B (4) Graduate Seminar II – Non-Presenting Complete 6-9 units of electives (can be part of the minor program) Complete minor (9-12 units) Complete 18 units of dissertation (BE/ABE 920)

Research methods, data analysis, and methodology requirements. (Yes/No. If yes, provide description)

Yes. Students complete 11 units of theory and methods.

Internship, practicum, applied course requirements (Yes/No. If yes, provide description)

Yes. Students complete 1 unit of internship to satisfy teaching experience requirement.

Master thesis or dissertation required (Yes/No. If yes, provide description)

Yes. Students complete 18 units of dissertation.

Additional requirements (provide description)

-Written and oral comprehensive examinations. -Teaching experience internship. -Oral dissertation defense.

Minor options (as relevant) Yes, minor is required. Open options including within the Department.

Kitt Farrell-Poe

Please refer to the Graduate College Web Page, Degree Requirements for the Doctor of Philosophy: https://grad.arizona.edu/gsas/degree-requirements/doctor-philosophy#credit-requirements It states “a minimum of 36 credits of coursework in the Major, 9 credits of coursework in the minor” (which equals 45 credits) “AND 18 credits of dissertation MUST BE COMPLETED” (which makes the total 63 credits).

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III. CURRENT COURSES–using the table below, list existing courses included in the proposed major. If the courses listed belong to a department that is not a signed party to this implementation request, upload the department head’s permission to include the courses in the proposed major and information regarding accessibility to and frequency of offerings for the course(s) in the proposed program. Upload letters of support/emails from department heads to the “Letter(s) of Support” field on the UAccess workflow. Add rows to the table, as needed.

Course prefix and number (include cross-listings)

Units Title Course Description Pre-requisites Modes of delivery (online, in-person, hybrid)

Typically Offered (F,W, Sp, Su)

Dept signed party to proposal? (Yes/No)

BE/ABE 501

2 Research Methods in Biosystems Engineering

To assist graduate students in planning and executing a research project, preparing a thesis or dissertation, and reporting research results in journal publications. Specifically, the course will guide students in the selection and statement of a graduate research project and the development of a research proposal, introduce proper research methods such as record keeping and intellectual property considerations, discuss ethical research methods and review written and oral methods for presentation of research.

None In-person

Sp Yes

BE/ABE 513

4 (NOTE: starting in Spring

2020, units will

be 3)

Applied Biostatistics

Introductory and advanced statistical methods and their applications in ecology. Focuses on how research design dictates choice of

None In-person

(F, even years), will be changing to every fall

Yes

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statistical models; explores principles and pitfalls of hypothesis testing.

BE/ABE 534

3 Biosystems Analytics

This course provides a comprehensive introduction to Python for data analytics focused on the interpretation of biological data. The course is structured as a series of short lectures covering key concepts and analytical strategies using Python and cutting-edge open source packages for data analytics. The majority of the course focuses on hands-on exercises both in- and out- of class to develop practical coding skills for interpreting and analyzing high-dimensional biological data. Students work in a collaborative learning classroom to gain skills in (1) basic Unix and Python, (2) Python data structures functions, and files, and (3) data wrangling and visualization using IPython, NumPy, and pandas, and (4) analytics using machine-learning methods available in Scikit-Learn. These skills are taught by implementing real-world coding examples to manipulate and process biological data in Python, and effectively use data-

Introduction to Linux. Code academy's Intro to Unix, or Command line bootcamp Apple or Linux computer, or Windows machine with Putty. An introductory programming class in python is useful but not required.

Hybrid Sp Yes

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oriented Python libraries to analyze and interpret data from biological systems.

BE/ABE 585

3 Remote Sensing Data and Methods

This course provides an in depth overview of practical topics in land remote sensing with big data, data sourcing and provenance, characteristics, generating algorithms, data discovery, advanced analysis, and data limitations. Students will learn how to discover and acquire a variety of global to regional land remote sensing data, learn about the various sensors/platforms collecting these data, learn how to interpret and use these data emphasizing real-world applications and research topics. The course is aimed primarily at students of biosystems engineering, environmental sciences, and natural resources management, and aims at bridging the gap between the theoretical aspects of remote sensing and current Earth science data records, algorithms, and analytics.

None, although GIST 330 and GEOG 418 are highly recommended

In-person

Sp Yes

BE/ABE 693

1-6 Internship Specialized work on an individual basis, consisting of training and practice in actual

None variety F, W, Sp, Su

Yes

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service in a technical, business, or governmental establishment.

BE/ABE 696A (for students presenting their research that semester)

1 (may be repeated

for a maximum

of 4 units)

Agricultural and Biosystems Engineering

The development and exchange of scholarly information, usually in a small group setting. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.

None In-person

F, Sp Yes

BE/ABE 696B (for students not presenting their research that semester)

1 (may be repeated

for a maximum

of 4 units)

Graduate Seminar II-Non-presenting

The exchange of scholarly information, usually in a small group setting. The scope of work shall consist of participation in seminar by course registrants, with the exchange of ideas presented in such seminars through discussion. Registrants are not required to give a presentation in the ABE 696B course. Registrants will preside over one or more seminars and otherwise provide support to the speakers and attendees.

None In-person

F, Sp Yes

BE/ABE 920

1-9 Dissertation Research for the doctoral dissertation (whether library research, laboratory or field observation or research, artistic creation, or dissertation writing).

None variety F, W, Sp, Su

Yes

ENVS 508 3 Scientific Writing for Environmental, Agricultural,

Effective writing is a valuable tool for any student aspiring for a career in the

None In-person

Sp Yes

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and Life Sciences

Environmental, Agricultural, and Life Sciences. This course will cover in-depth technical writing skills needed for scientific writing success, ranging from how to perform comprehensive reviews of the scientific literature, to performing peer reviews of the writing of fellow students. Ultimately, completion of this course will improve students' ability to write technical reports, theses and dissertations, and journal articles.

STAT 571B 3 Design of Experiments

Principles of designing experiments. Randomization, block designs, factorial experiments, response surface designs, repeated measures, analysis of contrasts, multiple comparisons, analysis of variance and covariance, variance components analysis.

MATH 223 or equivalent; MATH 571A (NOTE: not enforced through UAccess)

In-person

Sp Yes

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IV. NEW COURSES NEEDED – using the table below, list any new courses that must be created to initiate the program. If specific course number is undetermined, please provide level, (ie CHEM 6**). Add rows as needed. Is a new prefix needed? If so, provide the subject description so Curricular Affairs can generate proposed prefix options.

Course prefix and number (include cross-listings)

Units Title Course Description

Pre-requisites

Modes of delivery (online, in-person, hybrid)

Status* Anticipated first term offered

Typically Offered (F, W, Sp, Su)

Dept signed party to proposal? (Yes/No)

No new courses will be needed.

*In development (D); submitted for approval (S); approved (A)

Subject description for new prefix (if requested). Include your requested prefix, if any:

V. STUDENT LEARNING OUTCOMES AND CURRICULUM MAP—describe what students should know, understand, and/or be able to do at the conclusion of this major. Work with Office of Instruction and Assessment to create a curricular map using Taskstream. Include your curricular map in this section (refer to Appendix B for sample Curriculum Map). 1. Demonstrate broad knowledge of his/her focus area in Biosystems Analytics &

Technology. 2. Critically analyze published research results in his/her focus area in Biosystems

Analytics & Technology. 3. Conduct original research on a significant Biosystems Analytics & Technology

problem. 4. Effectively communicate and defend results of research to peers and broader

scientific audiences.

https://oia.arizona.edu/

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Curriculum Map: Curriculum Map for MS in Biosystems Analytics & Technology. Created using taskstream. Contact OIA for assistance in creating your curriculum map.

12/18/2018 Curriculum Map - Courses and Activities Mapped to Biosystems Analytics & Technology Graduate University of Arizona AMS DEMO AREA

Biosystems Analytics & Technology PhD


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VI. ASSESSMENT PLAN FOR STUDENT LEARNING- using the table below, provide a schedule for program assessment of intended student learning outcomes 1) while students are in the program and 2) after completion of the degree. Add rows as needed. Delete EXAMPLE row.

Learning Outcomes

Sources(s) of Evidence

Assessment Measures

Data Collection Points

1: Demonstrate broad knowledge of his/her focus area in Biosystems Analytics & Technology.

Graduate Seminar (BE/ABE 696A)

Surveys, papers, presentations, and other forms of student work

Presentations at graduate seminar, BE/ABE 696A (has assessment rubric & form)

Written & Oral Comprehensive Exams

Written and Oral Comprehensive Exams

Exit Survey

1 month before graduation

2: Critically analyze published research results in his/her focus area in Biosystems Analytics & Technology.

Written & Oral Comprehensive Exam

Presentations, papers, and other forms of student work

Written and Oral Comprehensive Exams

Written Dissertation & Oral Defense of the Dissertation

Written Dissertation & Oral Defense of Dissertation (has assessment rubric & form)

Exit Survey 1 month before graduation

3: Conduct original research on a significant Biosystems Analytics & Technology problem.





4: Effectively communicate and defend results of research to peers and broader scientific audiences.

Graduate Seminar (BE/ABE 696A)


Presentations at graduate seminar, BE/ABE 696A (has assessment rubric & form)




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As per consultation with the Office of Instruction & Assessment, we are evaluating our students during their program using the assessments listed in the table above: via the four student presentations during the graduate seminar (BE/ABE 696A); the written and oral comprehensive examinations; written dissertation; oral defense of the dissertation; and the exit survey. As the student progresses through their academic program, there are two primary procedures in place to ensure that the student is making appropriate progress and attaining the required course grades for success: 1. GradPath 2. Graduate Student semester progress reports

VII. PROGRAM ASSESSMENT PLAN- using the table below, provide a schedule for program evaluation 1) while students are in the program and 2) after completion of the degree. Add rows as needed. Delete EXAMPLE rows.

Assessment Measure Source(s) of Evidence Data Collection Point(s) Job Placement Statistics Student/Alumni Survey At graduation and as part

of alumni survey Academic Program Review Reviewers’ responses Year 5 and every 7 years

afterwards As per consultation with the Office of Instruction & Assessment, we are evaluating our program after the students have completed the program. We have established a comprehensive process for developing our program outcomes, evaluating the extent to which these meet the needs of our clientele, and assessing the degree to which the program meets the desired outcomes (for students at the time of graduation), and to which the outcomes meet our program objectives for alumni shortly after their graduation: 1. We have an Academic Programs Assessment Committee to implement, maintain,

and improve assessment tools for continuous improvement and to analyze assessment data and formulate recommendations for improving the program based on these analyses.

2. All educational objectives are reviewed annually by the Biosystems Engineering Advisory Council.

3. The Biosystems Engineering Graduate Program Committee is charged with ensuring that the curriculum provides students with the experience necessary to meet the BAT Educational Objectives and Program Outcomes.

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4. Below is the overall flow chart for the BE continuous improvement process used for the BAT degree program.

VIII. NEED FOR THE MAJOR-describe how the major fulfills the needs of the city, state, region, and nation. Provide market analysis data or other tangible evidence of the need for and interest in the proposed major. This might include results from surveys of current students, alumni, and/or employers or reference to student enrollments in similar programs in the state or region. Include an assessment of the employment opportunities for graduates of the program during the next three years. We believe there are several compelling reasons for this major (and each need will be expanded below): 1. To prepare a workforce for the science and computing needs of the 4th Industrial

Revolution. 2. As a response to the department’s 2016 UA Academic Program Review (APR)

recommendations. 3. To have a home for our non-engineering faculty’s graduate students.

Preparing the Workforce for the 4th Industrial Revolution The workforce of today and tomorrow needs a foundation in the sciences and computing, and an understanding of large data sets – how to manipulate, mine, manage, and ultimately to inform decisions. In fact, the National Science Foundation recognizes that “Advanced computational infrastructure and the ability to perform large-scale simulations and accumulate massive amounts of data have revolutionized scientific and engineering disciplines.” [National Science Foundation, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813&org=MPS&from=home, accessed 10-15-18], and have created a separate funding program for Computational and Data-Enabled Science and Engineering. The proposed undergraduate and graduate degree programs fits seamlessly into the NSF research funding priorities. The World Economic Forum is an international, independent, impartial, not-for-profit organization to engage the foremost political, business, and other leaders of society to shape global, regional, and industry agendas. Their career page

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[https://www.weforum.org/about/careers] has a whole host of new job opportunities for professionals that have expertise in artificial intelligence, the internet of things, start-ups, machine learning, robotics, 3D printing, and autonomous vehicles to name a few. They believe that those seeking employment in the 4th Industrial Revolution will need to be proficient in digital and/or problem-solving skills. They also publish a bi-annual report on job futures, The Future Jobs Report. In their 2016 report, they stated that openings of data analysts are expected to increase across all industries and geographies: "Two job types stand out due to the frequency and consistency with which they were mentioned across practically all industries and geographies. The first are data analysts, as already frequently mentioned above, which companies will help them make sense and derive insights from the torrent of data generated by the technological disruptions referenced above. ..." Page 16, 2016 report. Another finding highlighted in both the 2016 and 2018 reports is that while many job markets will shrink with the 4th industrial revolution, computer and mathematical jobs are expected to increase. Our degree program features both computer and mathematical skills along with a knowledge of the sciences and a familiarity with technology. This program also believes in preparing the students for life after graduation. Here are specific strategies the program will employ: 1. In the Biosystems Analytics course, BE 534, the final is based on guidelines for a

technical job interview with Python. The learning outcomes are put together so that the students can be ready for the “real-world” through the collaborative learning / team building exercises in-class and also have practice articulating their technical skills for an interview.

2. In Research Methods in Biosystems Engineering, BE 501, the students will learn to build their curriculum vita. During this course module, the students will be introduced or re-introduced to the Student Engagement & Career Development office [http://career.arizona.edu] and the drop-in career development help lab, LifeLab, where they can get help on developing a career plan, refining a resume, and interviewing practice. They will also be introduced to the Graduate Center, part of the Graduate College [https://gradcenter.arizona.edu/], where there are workshops, resources, articles to support the professional development.

Response to the Department’s 2016 APR Recommendations The recommendations from our 2016 APR urged us to create a program that creates a non-engineering degree to better integrate our emerging emphasis on systems/informatics/analytics. The specific recommendations were (1) “The Department’s emerging emphasis on systems/informatics/analytics should be considered as a potential strong integrator of the Department’s domains and core competencies” (Recommendation 2) and (2) “The Department should create non-engineering options…” (Recommendation 15). We believe that the undergraduate and graduate degree program proposals meet the intent and spirit of these recommendations.

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Home for Our Non-engineering Faculty’s Graduate Students As described above, we have an emerging and growing emphasis on biosystems analytics. In the beginning of 2015, we had one faculty member in this emphasis area, and today, we have four. Currently, the department can only offer an engineering PhD or MS degree. For these four faculty, they would have to convince their graduate students to make up any engineering deficiencies (up to four classes) to be able to graduate from the department or find a Graduate Interdisciplinary Program to enroll their students in. We want to be able to have a non-engineering graduate program in which our faculty may enroll their graduate students.

IX. ANTICIPATED STUDENT ENROLLMENT- complete the table below. What concrete

evidence/data was used to arrive at the numbers?

5-YEAR PROJECTED ANNUAL ENROLLMENT 1st Year 2nd Year 3rd Year 4th Year 5th Year

Number of Students

7 12 18 23 28

All numbers show the additional students we expect. The Biosystems Engineering department only has an engineering graduate program. This new Biosystems Analytics & Technology is a non-engineering graduate program and will be new students to our department. Data/evidence used to determine projected enrollment numbers: These numbers are based on:

1. My faculty’s own needs for graduate students 2. Burning Glass Report (University of Arizona software program that estimates the

demand for proposed and existing majors): a. According the report for national trends in the last 12 months, there were over

29,700 job postings for the positions for which our students would be applying, and the number of jobs are expected to grow by 7% over the next 10 years. These jobs pay around $105,000 a year or over three times the average living wage for the nation ($31,450).

b. In Arizona alone, there were nearly 340 job postings in the last 12 months, and the number of jobs are expected to grow by 18.6% in general and by almost 24% for data analytics and mathematical positions. These jobs will pay around $96,000 a year or almost three times more than the average living wage in Arizona ($32,531).

3. Selected quotes from an Internet survey:

17

a. PwC estimates that by 2020, there will be 2.7 million job postings for data science and analytic roles (https://www.pwc.com/us/en/library/data-science-and-analytics.html, accessed 10-3-18), and of those postings 59-86% will require a bachelor’s degree (and ~40% a graduate degree). This degree would be considered an analytics-enabled degree and companies are looking for “employees who can solve problems in technology-rich environments”

b. Data Science career: jobs “are growing in virtually every sector: manufacturing, construction, transportation, warehousing, communication, science, health care, computer science, information technology, retail, sales, marketing, finance, insurance, education, government, security, law enforcement, and more.” (https://datasciencedegree.wisconsin.edu/data-science/data-science-careers/, accessed 10-3-18).

X. ANTICIPATED DEGREES AWARDED- complete the table below, beginning with the first year in which degrees will be awarded. How did you arrive at these numbers? Use National Center for Education Statistics College Navigator to find program completion information of peer institutions offering a same or similar program.

PROJECTED DEGREES AWARDED ANNUALLY 1st Year 2nd Year 3rd Year 4th Year 5th Year Number of Degrees

6 11 16 21 26

Data/evidence used to determine number of anticipated degrees awarded annually: Our department has a historically high retention rate, and the numbers above reflect our current retention rates (93%). No other peer institution offers the same or similar major.

XI. PROGRAM DEVELOPMENT TIMELINE- describe plans and timelines for 1)marketing the

program and 2)student recruitment activities. Plans for Marketing the Major & Student Recruitment Activities The College of Agriculture and Life Sciences has one of the best marketing offices in the University. It is located in the Career & Academic Services. They use Lead Generation sites, the UA SLATE recruiting system, attend many career fairs, create brochures for each major, highlight their majors in the lobby of Forbes, and describe each major in the web page. We also have an active Professional Academic Advisor who attends career

https://nces.ed.gov/collegenavigator/

18

fairs and meet-your-major events. Specifically, we will: 1. In collaboration with the Graduate College and CALS, create a brochure to use at

career fairs and graduate college fairs as well as to give to the Graduate College Office of Diversity and Inclusion to take with them and distribute at their year-round diversity recruitment trips.

2. In collaboration with The Graduate College’s Office of Diversity and Inclusion, create a SLATE personalized messages that are culturally responsive and affirming.

3. Create a table-top booth display for use at fairs and events. 4. Create a website for the degree program highlighting research opportunities,

financial assistance programs, and job opportunities.

19

XII. DIVERSITY AND INCLUSION-describe how you will recruit diverse students and faculty to this program.

The Biosystems Engineering Department is a diverse department and is attractive to diverse students and faculty. Of the current student body, we have 12 international graduate students, and out of the 19 faculty, there are 10 from other countries. We also attract women into our programs. Of the five faculty listed in our biosystems informatics emphasis group, three are women. Our female population is currently 60% (34/56) in our undergraduate program, and 39% (13/35) in our graduate program. We have 2 domestic graduate students who are Hispanic and 2 domestic graduate students who are Native American. We actively work to find funding for under-represented domestic graduate students. We currently have two graduate students receiving Sloan Indigenous Graduate Partnership Scholarships. We have faculty that are co-Project Investigators for the National Science Foundation’s Innovations at the Nexus of Food, Energy, and Water Systems (INFEWS), Indigenous Food, Energy, and Water Security and Sovereignty. This is a five-year, $3 million project to develop a diverse workforce with intercultural awareness and expertise in sustainable food, energy, and water systems. To increase our domestic student diversity population, BE will work closely with the UA Graduate College’s Office of Diversity and Inclusion to recruit diverse and under-represented domestic candidates. Using their expertise, we will develop brochures for their recruitment trips and conferences and tailor the SLATE recruiting platform so that our interactions are culturally responsive and affirming. We will seek training grants to help fund our graduate programs.

20

XIII. SAMPLE PLAN OF STUDY- provide a sample plan of study.

Semester 1 Semester 2 Semester 3 Semester 4 Course prefix and number

Units Course prefix and number



Units

BE/ABE 513 Applied Biostatistics

4 BE/ABE 501 Research Methods

2 Minor courses

6 STAT 571B Design of Experiments

3

Electives 6 ENVS 508 Scientific Writing

3 BE/ABE 585 Remote Sensing

3

BE/ABE 534 Biosystems Analytics

3 Minor course 3

BE/ABE 696B Graduate Seminar II-Non-presenting

1 BE/ABE 696A Agricultural and Biosystems Engineering (Graduate Seminar, presenting)

1 BE 696B 1 BE 696B 1

Total 11 Total 9 Total 7 Total 10

Semester 5 Semester 6 Semester 7 Semester 8 Course prefix and number




Units

BE/ABE 696A 1 BE/ABE 696A 1 BE/ABE 696B 1 BE/ABE 696A 1 Elective 3 BE/ABE 693

Teaching Internship

1 BE/ABE 920 Dissertation

5 BE/ABE 920 Dissertation

5

BE/ABE 920 Dissertation

4 BE/BE 920 Dissertation

4

Schedule Comprehensive Examination

Schedule dissertation defense

Total 8 Total 6 Total 6 Total 6

21

XIV. ABOR REQUIREMENT: Table-Proposed New Programs Name of Proposed Degree (degree type and major), College/School, Location, Anticipated Catalog Year

Program Fee Required? (Yes or No)

Brief Description Justification and Identified Market Need

Learning Outcomes and Assessment Plan

Projected 3rd Year Enrollment

Doctorate of Philosophy and Master of Science in Biosystems Analytics & Technology, College of Agriculture & Life Sciences Offered on Main Campus Anticipated first semester of admission is Fall 2019

No Description: Biosystems Analytics & Technology combines data science with applied engineering and the sciences to take a systems-level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data-mining, and cyberinfrastructure development. It will prepare students for careers in the 4th Industrial Revolution. Justification: Converting knowledge into action to solve real-world problems in the life sciences requires a merger of data science, biology and physics, and applied engineering (also known as the 4th Industrial Revolution). These efforts require innovative and integrated educational pathways in

Learning Outcomes Concepts (Knowledge): 1. Demonstrate broad knowledge of

his/her focus area in Biosystems Analytics & Technology.

Competencies (Skills): 2. Critically analyze published research

results in his/her focus area in Biosystems Analytics & Technology.

3. Conduct original research on a significant Biosystems Analytics & Technology problem.

4. Effectively communicate and defend results of research to peers and broader scientific audiences.

Measures Direct measures will include assessment of samples of student work from core courses throughout the academic program. Indirect measures will include student surveys and interviews at the end of the academic program. Surveys will include

18

22

applied statistics, computer science, and engineering technology. Market Need: According the Burning Glass Report for national trends in the last 12 months, there were over 29,700 job postings for the positions for which our students would be applying, and the number of jobs are expected to grow by 7% over the next 10 years. These jobs pay around $105,000 a year or over three times the average living wage for the nation ($31,450). In Arizona alone, there were nearly 340 job postings in the last 12 months, and the number of jobs are expected to grow by 18.6% in general and by almost 24% for data analytics and mathematical positions. These jobs will pay around $96,000 a year or almost three times more than the average living wage in Arizona ($32,531). Possible careers include work as a Biostatistician, Agricultural Data Scientist, Computational Biologist, Analytics Developer, Operations Research Analyst, Biosystems Manager, Ecosystem Analyst, Data/Data Mining Analyst, and Quantitative Analyst.

student self-assessment of performance during the program. Assessment Methods/Instruments 1. The program is using curriculum maps to indicate when a specific learning outcome is introduced, practiced, and assessed in the core courses. 2.Taskstream software is used to facilitate the mapping. Specific assignments throughout the program will be used for the program assessment. 3.Embedded course assessments using rubrics will also be used for course projects during the program. Various rubrics will be used depending on the activity. 4.Rubrics will also be used during the following times in the program: -Presentation at the graduate seminar (BE 696A) -Report/Thesis/Dissertation oral defense presentation -Exit survey for graduate students

23

Appendix A. Master’s and/or Minor Requirements. Complete Table 1 if requesting a corresponding Masters. Complete Table 2 if requesting a corresponding minor. Delete EXAMPLE column before submitting. Table 1. Master’s Degree Requirements

Degree type Master’s: Thesis & Non-Thesis/Report Available for direct admission (Yes/No. If yes, provide pre-admission expectations)

Yes, earned bachelor’s degree; training in field; statement of purpose

Total units required to complete degree 30 Curriculum requirements (list all required coursework including core, electives, sub-plan coursework, etc.). Courses listed must include course prefix, number, units, and title. Mark new coursework (New). Include any limits/restrictions needed (house number limit, etc.). Provide email(s)/letter(s) of support from home department head(s) for courses not owned by your department.

Complete 13 units of core coursework: -STAT 571B (4) Design of Experiments (NOTE: starting in Fall 2020, this course will be 3 units) -ABE/BE 513 (3) Applied Biostatistics -ABE/BE 584 (3) Biosystems Analytics -ENVS 508 (3) Scientific Writing for Environmental, Agricultural, and Life Sciences Complete 6 units of methodology: -BE 501 (2) Research Methods in Biosystems Engineering -BE 696A (2) Agricultural and Biosystems Engineering (presenting) -BE 696B (2) Graduate Seminar II-Non-presenting Complete 6 units of electives Complete 5 units of master’s thesis or report: BE 910, ABE/BE 909


Yes, complete 6 units of methodology: -BE 501 (2) Research Methods in Biosystems Engineering -BE 696A (2) Agricultural and Biosystems Engineering (presenting) -BE 696B (2) Graduate Seminar II-Non-presenting


No.

Master thesis required (Yes/No. If yes, provide description)

Yes, 5 units of master’s thesis (ABE/BE 910) or report (ABE/BE 909)

Additional requirements (provide description) None. Minor options (as relevant)

24

Table 2. Summary of Requirements for Those Outside the Program Seeking to Earn a Minor in Biosystems Analytics & Technology

Total units required to complete minor 9 Total transfer units that may apply to minor 3 Pre-admissions expectations (i.e. academic training to be completed prior to admission)

Discuss minor choice with major professor and include in plan of study.

Minor requirements (list all required coursework including core and electives). Courses listed must include course prefix, number, units, and title. Mark new coursework (New). Include any limits/restrictions needed (house number limit, etc.). Provide email(s)/letter(s) of support from home department head(s) for courses not owned by your department.

Complete 7 units of core coursework: -ABE/BE 513 (4) Applied Biostatistics (NOTE: starting in Fall 2020, units will be 3) -ABE/BE 584 (3) Biosystems Analytics Complete 2 units of electives within the department.


No, not for minor


No

Additional requirements (provide description)

25

Appendix B. Curriculum Map for MS in Biosystems Analytics & Technology. Created using taskstream. Contact OIA for assistance in creating your curriculum map.

12/18/2018 Curriculum Map - Courses and Activities Mapped to Biosystems Analytics & Technology Graduate University of Arizona AMS DEMO AREA

Biosystems Analytics & Technology MS


26

Appendix C. Faculty CV. Complete the table below by providing UA Vitae profile link or short CV for each faculty member participating in the proposed program. Add rows as needed. UA Vitae profiles can be found in the UA UA directory/phonebook.

Faculty Member UA Vitae link or “CV attached” Lingling An https://profiles.arizona.edu/person/anling Kamel Didan https://profiles.arizona.edu/person/didan Kitt Farrell-Poe https://profiles.arizona.edu/person/kittfp

Bonnie Hurwitz https://profiles.arizona.edu/person/bhurwitz Haiquan Li https://profiles.arizona.edu/person/haiquan Akrum Tamimi https://profiles.arizona.edu/person/akrumt Jana U'Ren https://profiles.arizona.edu/person/juren Muluneh Yitayew https://profiles.arizona.edu/person/myitayew Jeong-Yeol Yoon https://profiles.arizona.edu/person/jyyoon

https://directory.arizona.edu/phonebook

https://profiles.arizona.edu/person/anling

https://profiles.arizona.edu/person/didan

https://profiles.arizona.edu/person/kittfp

https://profiles.arizona.edu/person/bhurwitz

https://profiles.arizona.edu/person/haiquan

https://profiles.arizona.edu/person/akrumt

https://profiles.arizona.edu/person/juren

https://profiles.arizona.edu/person/myitayew

https://profiles.arizona.edu/person/jyyoon

Biosystems Analytics & Technology

1st Year 2019- 2020

2nd Year 2020 - 2021

3rd Year 2021 - 2022

METRICSNet increase in annual college enrollment UG 10 20 30 Net increase in college SCH UG 393 846 1,360 Net increase in annual college enrollment Grad 7 12 18 Net increase in college SCH Grad 280 480 720 Number of enrollments being charged a Program Fee - - - New Sponsored Activity (MTDC) - - - Number of Faculty FTE 2 2 2

FUNDING SOURCESContinuing SourcesUG RCM Revenue (net of cost allocation) 88,640 189,280 301,920 Grad RCM Revenue (net of cost allocation) 86,100 147,600 221,400 Program Fee RCM Revenue (net of cost allocation) - - - F and A Revenues (net of cost allocations) - - - UA Online Revenues - - - Distance Learning Revenues - - - Reallocation from existing College funds (attach description) - - - Other Items (attach description) - - - Total Continuing $ 174,740 $ 336,880 $ 523,320

One-time SourcesCollege fund balancesInstitutional Strategic InvestmentGift FundingOther Items (attach description)Total One-time $ - $ - $ -

TOTAL SOURCES $ 174,740 $ 336,880 $ 523,320

EXPENDITURE ITEMSContinuing ExpendituresFaculty 159,553 159,553 159,553 Other Personnel (Academic Program Advisor) 4,943 7,414 9,886 Employee Related Expense 51,323 52,094 52,865 Graduate Assistantships (see assumptions) 233,877 Other Graduate Aid (travel assistance) 750 750 750 Operations (materials, supplies, phones, etc.) 1,000 1,000 1,000 Additional Space Cost - - - Other Items (attach description) - - - Total Continuing $ 217,568 $ 220,811 $ 457,931

One-time ExpendituresConstruction or Renovation - - - Start-up Equipment - - - Replace Equipment - - - Library Resources - - - Other Items (attach description) - - - Total One-time $ - $ - $ -

TOTAL EXPENDITURES $ 217,568 $ 220,811 $ 457,931

Net Projected Fiscal Effect $ (42,828) $ 116,069 $ 65,389

BUDGET PROJECTION FORM

Name of Proposed Program or Unit: Projected

Assumptions used for calculations used in Budget Projection Form

assume UG major $1,000assume UG SCH $200assume Grad major $3,700assume Grad SCH $215

Assumptions:Funding Sources >> Continuing Sources >> Net increase in college SCH UG1) Students will choose AREC 239 (4 units)2) Students will choose a CALS Scientific Writing class (3 units)3) new course availability a) BE 102: year 1 (2 units) b) BE 310: year 1 (3 units) c) BE 247: year 2 (3 units) d) BE 496B: year 3 (1 unit) e) BE 498C: year 3 (2 units)4) 50% of electives (19 units) will be in CALS (10 units)5) 33% of majors will choose MIC 205A & L6) CALS courses used in calculationsa) Course b) Units Year 1 Units Year 2 Units Year 3BE 102 2 2 2BE/ABE 120 3 3 3BE 247 3 3BE/ABE 205 3 3 3BE 310 3 3 3BE/ABE 413 3 3 3BE/ABE 434 3 3 3BE/ABE 485 3 3 3BE/ABE 193, 293, 393, 493 1 1 1BE 496B 1BE 498C 2AREC 239 4 4 4CALS scientific writing class 3 3 350% of electives within CALS 10 10 10Total 38 41 44

Expenditure Items >> Continuing Expenditure >> Faculty & Staff1) ERE rates for faculty: 31.20%2) ERE rates for academic program advisor: 31.20%3) Academic Advisor FTE: Year 1: 0.10 FTE Year 2: 0.15 FTE

Year 3: 0.20 FTE

Faculty member Rank Degree DeptLingling An Associate Professor PhD BEJoel Cuello Professor PhD BEKamel Didan Associate Professor PhD BEKitt Farrell-Poe3 Head, Specialist, and Profess PhD BEGene Giacomelli Professor PhD BEBonnie Hurwitz Assistant Professor PhD BEMurat Kacira Professor PhD BEHaiquan Li Assistant Professor PhD BEStephen Poe Professor PhD BEDonald Slack Professor PhD BEAkrum Tamimi Assistant Professor of Practic PhD BEStacy Tollefson Professor of Practice PhD BEJana U'Ren Assistant Professor PhD BEPeter Waller Associate Professor PhD BEMuluneh Yitayew Professor PhD BEJeong-Yeol Yoon Professor PhD BE

Total

Dava Jondall Staff BE

*the FTE's are based on the faculty's teaching assignment

Expenditure Items >> Continuing Expenditures >> Graduate AssistantshipsThe department will seek and secure, by the third year, funding to support 3 PhD students at 0.50 F The budget item includes 3 calendar years (2 semesters + summer) of Graduate Assistant II and 1 ye Graduate Assistant II annual stipend = $27,362 (FY 18 values) $172,724.14Graduate Associate annual stipend = $29,497 (FY 18 values) $61,152.97Tuition = $11,716 (FY 18 values)ERE assumed to be 14.1%IDC assumed to be 53.5%

Funding Sources >> Continuing Sources >> Net increase in college SCH Grad1) Since no new classes, all SCHs are available in year 1

Involvement (FTE)* Expense Salary

0.3 $28,623 $95,409$0 $89,474

0.15 $13,073 $87,1500.1 $16,912 $169,118

$0 $126,6380.2 $18,793 $93,965

$0 $114,3590.3 $27,000 $90,000

$0 $101,287$0 $164,689

0.15 $12,750 $85,000$0 $85,000

0.2 $17,000 $85,000$0 $89,222

0.15 $14,130 $94,2020.1 $11,273 $112,725

1.65 $159,553

0.1 $4,943 $49,429

FTE for 4 years. ear of Graduate Associate stipend + ERE + IDC

Report generated using Program Insight from Burning Glass Technologies

VALIDATE: EMPLOYMENT POTENTIAL

PROJECT CRITERIA

Validate Occupations

States Arizona

Degree Level Master's degree

Time Period 1/1/2018 - 12/31/2018

Selected Bgt Occupations BGT Occupation, Biostatistician, Survey Researcher, Cytogenetic Technologist / Cytotechnologist, Soil / Plant Scientist, Biologist, Data Engineer, Data Scientist, Data / Data Mining Analyst

Programs most likely to confer graduates for the selected Career Outcomes

Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation


Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)


HOW MANY JOBS ARE THERE FOR YOUR GRADUATES?

For your project criteria, there were 820 job postings in the last 12 months.

Compared to:

• 787,164 total job postings in your selected location • 65,130 total job postings requesting a Master's degree in your selected location

The number of jobs is expected to grow over the next 8 years.

GROWTH BY GEOGRAPHY

Geography Selected Occupations Total Labor Market Relative Growth

Arizona 23.54% 18.60% Average

Nationwide 7.28% 7.40% Average

HOW HAS EMPLOYMENT CHANGED FOR CAREER OUTCOMES OF YOUR PROGRAM?

2013 2014 2015 2016 2017 2027

Employment (BLS) 10,200 10,510 10,690 13,410 11,770 14,541


Employment data between years 2018 and 2027 are projected figures.

DETAILS BY OCCUPATION

Occupation Group Postings LQ Employment (2017)

Employment Growth (2016 -

2017)

Projected Employment

Growth (2018-2027)

Data Analysis and Mathematics 642 0.8 8,390 51.7% 23.9%

Database Specialists 129 0.9 2,420 -12.6% 24.7%

Biological Science 47 0.5 740 -1.3% 12.2%

Clinical Laboratory Technologists and Technicians

2 0.5 NA NA NA

Policy Analysis and Planning 0 0.0 220 37.5% 35.9%

HOW VERSATILE IS MY PROGRAM?

Graduates of this program usually transition into any of the 22 different occupation groups:


Occupations Group Market Size (postings) Percentage of Career Outcome demand

Software Development 6,013 41.2%

Network and Systems Engineering 2,429 16.6%

Business Analysis 1,341 9.2%

Financial Analysis 860 5.9%

Database Specialists 784 5.4%

Data Analysis and Mathematics 756 5.2%

Business Intelligence 557 3.8%

General Research 493 3.4%

Health and Medical Research 249 1.7%

Front-End Application Design 198 1.4%

Environmental and Climate Science 182 1.2%

Diagnostic Technologists and Technicians 169 1.2%

Biological Science 106 0.7%

Clinical Laboratory Technologists and Technicians 106 0.7%

Rangers and Foresters 79 0.5%

Chemical and Physical Science 73 0.5%

Patient Care Technicians 68 0.5%

Scientific Technicians 53 0.4%

Health IT Professionals 44 0.3%

Mid-Level Healthcare Therapists 22 0.2%

Agriculture Workers 6 0.0%

Agriculture Managers 4 0.0%


WHAT SALARY WILL MY GRADUATES MAKE?

The average salary in Arizona for graduates of your program is $92,966. This average salary is Above the average living wage for Arizona of $32,531.


Salary numbers are based on Burning Glass models that consider advertised job posting salary, BLS data, and other proprietary and public sources of information.

Occupation Group 25th Percentile Average 75th Percentile

Data Analysis and Mathematics $90,231 $90,933 $103,193

Database Specialists $108,272 $96,656 $106,288

Biological Science $0 $57,117 $0

Clinical Laboratory Technologists and Technicians $0 $0 $0

WHERE IS THE DEMAND FOR MY GRADUATES?

TOP LOCATIONS BY POSTING DEMAND

Location Postings

California 13,098


New York 5,059

Texas 4,229

Massachusetts 3,651

Virginia 2,663

Washington 2,524

New Jersey 2,311

Illinois 2,231

North Carolina 2,120

Pennsylvania 1,713


VALIDATE: COMPETITIVE LANDSCAPE

PROJECT CRITERIA


States Arizona


Time Period 1/1/2018 - 12/31/2018

Selected Bgt Occupations

BGT Occupation, Biostatistician, Survey Researcher, Cytogenetic Technologist / Cytotechnologist, Soil / Plant Scientist, Biologist, Data Engineer, Data Scientist, Data / Data Mining Analyst


Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics


(26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial


Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)


OVERVIEW

#

% Change

(2013-2017)

Degrees Conferred 1,986 28%

Number of Institutions 10 11%

Average Conferrals by Institution 199 16.40%

Median Conferrals by Institution 110 292.90%

MARKET SHARE BY PROGRAM

Program Conferrals Market Share (%)


(2017)

Information Technology 413 20.80%

Management Science 288 14.50%

Computer Science 271 13.65%

Management Information Systems, General 262 13.19%

Other 752 37.87%

MARKET SHARE BY INSTITUTION TYPE

Institution Type Conferrals

(2017) Market Share (%)

For-Profit 647 32.58%

Private 123 6.19%

Public 1,216 61.23%

TOP 10 INSTITUTIONS


Institution School Type

Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

Arizona State

University-Tempe Public 37.11% 14.97% 737 116.10%

University of

Phoenix-Arizona

For-Profit

17.07% -37.48% 339 -59.60%

Grand Canyon

University

For-Profit

14.60% 14.60% 290 100.00%

University of Arizona Public 12.24% 0.36% 243 32.80%

Midwestern

University-Glendale Private 6.19% -0.50% 123 19.40%

Arizona State

University-Skysong Public 4.93% 4.93% 98 100.00%

Arizona State

University-

Polytechnic

Public 4.48% 3.77% 89 709.10%

Northern Arizona

University Public 2.47% 0.65% 49 75.00%

University of

Advancing

Technology

For-Profit

0.55% -0.55% 11 -35.30%

DeVry University-

Arizona

For-Profit

0.35% -0.30% 7 -30.00%


TOP 10 PROGRAMS

Program Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

Information Technology 20.80% 14.70% 413 339.40%

Management Science 14.50% 7.75% 288 176.90%

Computer Science 13.65% 4.62% 271 95.00%

Management Information

Systems, General 13.19% -29.02% 262 -59.70%

Biomedical Sciences,

General 6.19% -0.50% 123 19.40%

Computer Engineering,

General 4.73% 4.54% 94 3,033.30%

Computer Software

Engineering 4.43% 4.43% 88 100.00%

Informatics 4.23% -8.76% 84 -58.00%

Sociology 3.83% 3.18% 76 660.00%

Biology/Biological

Sciences, General 2.01% -1.04% 40 -14.90%

ACTIVE COMPETITORS


Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)


Arizona State


Texas A & M

University-College

Station

Public 10.93% 1.25% 695 69.90%

University of

Washington-Seattle

Campus

Public 8.42% -0.98% 535 34.80%

University of

Minnesota-Twin

Cities

Public 8.02% -0.07% 510 49.10%

University of

Wisconsin-Madison Public 6.95% 0.13% 442 53.50%

University of Illinois

at Urbana-

Champaign

Public 6.73% -1.81% 428 18.60%

University of Florida Public 6.67% -1.40% 424 24.30%

University of

Maryland-College

Park

Public 5.99% 1.42% 381 97.40%

University of

California-Los

Angeles

Public 4.67% -1.08% 297 22.20%

The University of

Texas at Austin Public 4.58% 0.98% 291 91.40%


Ohio State

University-Main

Campus

Public 4.28% -0.83% 272 25.90%

University of Arizona Public 3.82% -0.51% 243 32.80%

University of

California-Davis Public 3.19% -0.17% 203 43.00%

Michigan State

University Public 2.94% -0.40% 187 32.60%

University of North

Carolina at Chapel

Hill

Public 2.86% -1.94% 182 -10.30%

Pennsylvania State

University-Main

Campus

Public 2.36% -0.31% 150 32.70%

University of Iowa Public 2.25% -0.45% 143 25.40%

Arizona State


Arizona State

University-

Polytechnic

Public 1.40% 1.14% 89 709.10%

Northern Arizona


Arizona State

University-

Downtown Phoenix

Public 0.00% -0.17% -100.00%

Arizona State

University-West Public 0.00% 0.00%


University of

Arizona-South na 0.00% 0.00%


VALIDATE: MARKET ALIGNMENT

PROJECT CRITERIA

Explore Occupations

States Arizona


Time Period 1/1/2018 - 12/31/2018



Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911),


Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development


Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)

JOB POSTINGS BY ADVERTISED EDUCATION (%)


JOB POSTINGS BY INDUSTRY (%)

JOB POSTINGS BY EXPERIENCE REQUESTED (%)


TOP TITLES

Experience Level: All Experience

Title Postings Market Share

(%)

Data Analyst 98 17.53%

Data Scientist 57 10.20%

Data Engineer 42 7.51%

Business Analyst 26 4.65%

Senior Data Scientist 20 3.58%

Biologist 16 2.86%

Analytics Consultant 14 2.50%

Biostatistician 13 2.33%


Technical Analyst 12 2.15%

Business Consultant 9 1.61%

Data Scientist, Data Mining,Statistical 8 1.43%

Machine Learning Engineer 8 1.43%

Database Analyst 7 1.25%

Marketing Analyst 7 1.25%

Machine Learning Scientist 6 1.07%

TOP EMPLOYERS HIRING


Employer Postings Market Share

(%)

Wells Fargo 29 5.19%

American Express 18 3.22%

IBM 12 2.15%

Atrilogy 11 1.97%

Honeywell 10 1.79%

USAA 10 1.79%

Intel Corporation 9 1.61%

Reinalt Thomas Corporation 9 1.61%


CVS Health 8 1.43%

University of Arizona 8 1.43%

Anthem Blue Cross 7 1.25%

Camris International 7 1.25%

Carvana Company 7 1.25%

Deloitte 7 1.25%

First Solar 6 1.07%


VALIDATE: KEY COMPETENCIES

PROJECT CRITERIA


States Arizona


Time Period 1/1/2018 - 12/31/2018



Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002),


Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science


and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)

TOP 15 SPECIALIZED SKILLS

Skill Postings Projected Growth Salary Premium Competitive

Advantage

SQL 433 (50%) -17.78% No No

Data Analysis 335 (39%) 4.8% No No

Data Science 329 (38%) 57.38% Yes Yes

Python 324 (38%) 68.28% Yes Yes


Machine Learning 233 (27%) 110.12% Yes No

Big Data 223 (26%) 47.24% Yes No

Apache Hadoop 212 (25%) 27.66% No No

SAS 189 (22%) 15.3% Yes No

Apache Hive 156 (18%) 57.12% No No

Java 151 (18%) -9.83% No No

Economics 149 (17%) -21.37% No No

Predictive Models 146 (17%) 11.51% No No

R 140 (16%) 50.52% No Yes

Tableau 127 (15%) 77.87% No No

Data Mining 127 (15%) -6.29% No No

TOP 15 BASELINES SKILLS


Skill Postings

Communication Skills 359 (42%)

Research 294 (34%)

Problem Solving 217 (25%)

Teamwork /

Collaboration 198 (23%)

Microsoft Excel 174 (20%)

Writing 154 (18%)

Creativity 113 (13%)

Detail-Oriented 106 (12%)

Analytical Skills 105 (12%)


Microsoft Office 101 (12%)

Planning 99 (12%)

Organizational Skills 90 (10%)

Presentation Skills 84 (10%)

Microsoft Powerpoint 70 (8%)

Written

Communication 68 (8%)

TOP 15 SOFTWARE PROGRAMMING SKILLS

Skill Postings Projected Growth

Salary Premium

Competitive Advantage

SQL 433 (50%) -17.78% No No

Python 324 (38%) 68.28% Yes Yes



SAS 189 (22%) 15.3% Yes No

Microsoft Excel 174 (20%) 32.1% No No


Java 151 (18%) -9.83% No No

R 140 (16%) 50.52% No Yes

Tableau 127 (15%) 77.87% No No

Data Visualization 117 (14%) 63.47% No Yes

Oracle 105 (12%) -1.63% Yes No

Microsoft Office 101 (12%) 14.02% No No

Scala 77 (9%) 90.48% No No

PERL Scripting Language 71 (8%) -37.38% No No

Microsoft Powerpoint 70 (8%) 8.56% No No


TOP 15 SKILL CLUSTERS

Skill Postings

SQL Databases and

Programming 440 (51%)

Data Analysis 434 (51%)

Data Science 377 (44%)

Scripting Languages 334 (39%)

Big Data 331 (39%)

Machine Learning 254 (30%)

Statistical Software 246 (29%)

Database Administration 208 (24%)

Statistics 199 (23%)

Data Warehousing 194 (23%)


Data Visualization 190 (22%)

Data Management 185 (22%)

Extraction,

Transformation, and

Loading (ETL)

182 (21%)

Economics 166 (19%)

Project Management 161 (19%)

TOP 15 SALARY PREMIUM SKILLS


Advantage


Python 324 (38%) 68.28% Yes Yes


Big Data 223 (26%) 47.24% Yes No


SAS 189 (22%) 15.3% Yes No

Oracle 105 (12%) -1.63% Yes No

Budgeting 82 (10%) -17.14% Yes No

Software Development 62 (7%) 2.33% Yes No

TOP 15 COMPETITIVE ADVANTAGE SKILLS


Salary Premium



Python 324 (38%) 68.28% Yes Yes

R 140 (16%) 50.52% No Yes


Quality Assurance and

Control 54 (6%) 1.97% No Yes


Metadata 23 (3%) -14.26% No Yes

TOP 15 CERTIFICATIONS

Skill Postings Salary Premium Competitive Advantage

Driver's License 15 (2%) No No

Certified Scrum Trainer (CST) 13 (2%) No No

SAS Certification 10 (1%) No No

Chartered Alternative

Investment Analyst (CAIA) 9 (1%) No No

Certified Public Accountant

(CPA) 8 (1%) No No

Security Clearance 7 (1%) No No

Chartered Property Casualty

Underwriter (CPCU) 5 (1%) No No

Certified Information Systems

Auditor (CISA) 3 (0%) No No

Production Certificate 3 (0%) No No


Chartered Financial Analyst

(CFA) 3 (0%) No No

Certified in Production and

Inventory Management

(CPIM)

3 (0%) No No

Purchasing Certification 3 (0%) No No

Six Sigma Green Belt

Certification 1 (0%) No No

Six Sigma Certification 1 (0%) No No

Six Sigma Black Belt


TOP 15 SALARY PREMIUM CERTIFICATIONS


No certificates available

TOP 15 COMPETITIVE ADVANTAGE CERTIFICATIONS





PROJECT CRITERIA


Location Nationwide


Time Period 1/1/2018 - 12/31/2018



Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation


Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)



For your project criteria, there were 55,632 job postings in the last 12 months.

Compared to:

• 28,525,903 total job postings in your selected location • 2,693,080 total job postings requesting a Master's degree in your selected location


GROWTH BY GEOGRAPHY




2013 2014 2015 2016 2017 2027

Employment (BLS) 586,780 600,360 615,780 663,420 557,020 597,549






2017)


Growth (2018-2027)

Data Analysis and Mathematics 41,286 NA 380,290 18.4% 6.7%

Database Specialists 7,435 NA 113,690 0.0% 11.2%

Biological Science 5,307 NA 51,770 4.0% 1.5%

Policy Analysis and Planning 1,406 NA 11,270 -5.5% 12.0%


198 NA NA NA NA








Data Analysis and Mathematics 49,052 7.0%

Financial Analysis 37,019 5.3%

Database Specialists 36,864 5.3%

General Research 33,425 4.8%

Business Intelligence 21,844 3.1%

Health and Medical Research 17,670 2.5%

Front-End Application Design 15,178 2.2%

Biological Science 8,455 1.2%

Chemical and Physical Science 7,872 1.1%

Policy Analysis and Planning 7,336 1.0%

Diagnostic Technologists and Technicians 5,974 0.9%

Clinical Laboratory Technologists and Technicians 5,277 0.8%

Environmental and Climate Science 4,683 0.7%

Scientific Technicians 4,474 0.6%

Patient Care Technicians 3,328 0.5%

Mid-Level Healthcare Therapists 2,303 0.3%

Health IT Professionals 1,782 0.3%

Rangers and Foresters 1,616 0.2%





The average salary in the nation for graduates of your program is $99,769. This average salary is Above the average living wage for the nation of $31,450.






Biological Science $57,330 $63,044 $74,538

Policy Analysis and Planning $58,202 $69,110 $70,428

Clinical Laboratory Technologists and Technicians $57,427 $64,773 $0



Location Postings


California 13,098

New York 5,059

Texas 4,229

Massachusetts 3,651

Virginia 2,663

Washington 2,524

New Jersey 2,311

Illinois 2,231


Pennsylvania 1,713



PROJECT CRITERIA


Location Nationwide


Time Period 1/1/2018 - 12/31/2018




Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics


(26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial


Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)


OVERVIEW

#

% Change

(2013-2017)




Median Conferrals by Institution 34 21.40%


Program Conferrals Market Share (%)


(2017)

Computer Science 14,384 15.88%

Computer and Information Sciences, General 11,390 12.58%

Information Science/Studies 6,889 7.61%

Information Technology 5,291 5.84%

Other 52,617 58.09%




For-Profit 2,826 3.12%

Private 37,010 40.86%

Public 50,735 56.02%

TOP 10 INSTITUTIONS



Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

University of Central

Missouri Public 2.05% 1.85% 1,860 1,489.70%

Columbia University

in the City of New

York

Private 1.84% -0.15% 1,663 39.70%

The University of

Texas at Dallas Public 1.79% 0.84% 1,622 184.60%

University of

Southern California Private 1.54% 0.58% 1,394 142.00%

Boston University Private 1.38% -0.23% 1,249 29.60%

Johns Hopkins

University Private 1.31% -0.27% 1,185 25.40%

New York University Private 1.31% -0.16% 1,183 34.10%

Carnegie Mellon

University Private 1.09% -0.11% 986 37.10%

Georgia Institute of

Technology-Main

Campus

Public 1.00% 0.42% 902 159.90%

San Jose State


TOP 10 PROGRAMS



(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

Computer Science 15.88% 4.98% 14,384 120.40%

Computer and

Information Sciences,

General

12.58% 4.33% 11,390 130.70%

Information

Science/Studies 7.61% 0.66% 6,889 65.60%

Information Technology 5.84% 1.20% 5,291 90.70%

Management Science 3.95% 1.26% 3,581 122.30%

Biology/Biological

Sciences, General 3.81% -2.05% 3,450 -1.60%

Computer Engineering,

General 3.48% 0.39% 3,148 70.30%

Statistics, General 3.39% -0.14% 3,069 45.20%

Mathematics, General 2.97% -1.83% 2,689 -6.50%

Economics, General 2.53% -2.23% 2,295 -19.40%

ACTIVE COMPETITORS


Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)


Arizona State


Texas A & M

University-College

Station

Public 10.93% 1.25% 695 69.90%

University of

Washington-Seattle

Campus

Public 8.42% -0.98% 535 34.80%

University of

Minnesota-Twin

Cities

Public 8.02% -0.07% 510 49.10%

University of



at Urbana-

Champaign

Public 6.73% -1.81% 428 18.60%

University of Florida Public 6.67% -1.40% 424 24.30%

University of

Maryland-College

Park

Public 5.99% 1.42% 381 97.40%

University of

California-Los

Angeles

Public 4.67% -1.08% 297 22.20%

The University of



Ohio State

University-Main

Campus

Public 4.28% -0.83% 272 25.90%

University of Arizona Public 3.82% -0.51% 243 32.80%

University of

California-Davis Public 3.19% -0.17% 203 43.00%

Michigan State

University Public 2.94% -0.40% 187 32.60%

University of North

Carolina at Chapel

Hill

Public 2.86% -1.94% 182 -10.30%

Pennsylvania State

University-Main

Campus

Public 2.36% -0.31% 150 32.70%

University of Iowa Public 2.25% -0.45% 143 25.40%

Arizona State


Arizona State

University-

Polytechnic

Public 1.40% 1.14% 89 709.10%

Northern Arizona


Arizona State

University-

Downtown Phoenix

Public 0.00% -0.17% -100.00%

Arizona State



University of




PROJECT CRITERIA

Explore Occupations

Location Nationwide


Time Period 1/1/2018 - 12/31/2018



Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911),


Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002), Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development


Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)



TOP TITLES



(%)

Data Analyst 5,850 15.08%

Data Scientist 5,640 14.54%

Data Engineer 1,951 5.03%

Senior Data Scientist 1,813 4.67%

Biologist 1,133 2.92%

Biostatistician 1,084 2.79%

Senior Data Engineer 923 2.38%


Machine Learning Scientist 847 2.18%

Business Analyst 453 1.17%

Lead Data Scientist 353 0.91%

Associate Scientist 280 0.72%

Principal Data Scientist 270 0.70%

Performance Support Designer 219 0.56%


Director, Data,Science 209 0.54%




(%)

Booz Allen Hamilton Inc. 573 1.48%


Capital Markets Placement 531 1.37%

Amazon 498 1.28%

Deloitte 485 1.25%

Capital One 426 1.10%

Accenture 275 0.71%

IBM 258 0.67%


KPMG 246 0.63%

Johnson & Johnson 224 0.58%

Covance Incorporated 215 0.55%

Apple Inc. 196 0.51%

JP Morgan Chase Company 175 0.45%

Wells Fargo 166 0.43%

Walmart / Sam's 165 0.43%



PROJECT CRITERIA


Location Nationwide


Time Period 1/1/2018 - 12/31/2018



Research Methodology and Quantitative Methods (45.0102), Physical and Biological Anthropology (45.0202), Cytotechnology/Cytotechnologist (51.1002), Clinical Laboratory Science/Medical Technology/Technologist (51.1005), Ophthalmic Laboratory Technology/Technician (51.1006), Clinical/Medical Laboratory Science and Allied Professions, Other (51.1099), Business/Managerial Economics (52.0601), Management Information Systems, General (52.1201), Information Resources Management (52.1206), Knowledge Management (52.1207), Management Information Systems and Services, Other (52.1299), Management Science (52.1301), Business Statistics (52.1302), Management Sciences and Quantitative Methods, Other (52.1399), Computer Science (11.0701), Data Modeling/Warehousing and Database Administration (11.0802), Computer and Information Sciences and Support Services, Other (11.9999), Family and Consumer Sciences/Human Sciences, General (19.0101), Animal Physiology (26.0707), Wildlife Biology (26.0709), Zoology/Animal Biology, Other (26.0799), Genetics, General (26.0801), Animal Genetics (26.0804), Plant Genetics (26.0805), Genome Sciences/Genomics (26.0807), Genetics, Other (26.0899), Physiology, General (26.0901), Molecular Physiology (26.0902), Cell Physiology (26.0903), Endocrinology (26.0904), Reproductive Biology (26.0905), Oncology and Cancer Biology (26.0911), Physiology, Pathology, and Related Sciences, Other (26.0999), Pharmacology (26.1001), Molecular Pharmacology (26.1002),


Neuropharmacology (26.1003), Toxicology (26.1004), Cyber/Computer Forensics and Counterterrorism (43.0116), Artificial Intelligence (11.0102), Computer and Information Sciences, General (11.0101), Information Technology (11.0103), Informatics (11.0104), Computer and Information Sciences, Other (11.0199), Information Science/Studies (11.0401), Structural Biology (26.0207), Molecular Biophysics (26.0206), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Biochemistry and Molecular Biology (26.0210), Radiation Biology/Radiobiology (26.0209), Botany/Plant Biology (26.0301), Plant Pathology/Phytopathology (26.0305), Plant Physiology (26.0307), Plant Molecular Biology (26.0308), Botany/Plant Biology, Other (26.0399), Cell/Cellular Biology and Histology (26.0401), Anatomy (26.0403), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Cell Biology and Anatomy (26.0407), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Microbiology, General (26.0502), Medical Microbiology and Bacteriology (26.0503), Virology (26.0504), Parasitology (26.0505), Immunology (26.0507), Microbiology and Immunology (26.0508), Microbiological Sciences and Immunology, Other (26.0599), Zoology/Animal Biology (26.0701), Entomology (26.0702), Natural Sciences (30.1801), Human Biology (30.2701), Political Economy (45.1004), Political Science and Government, Other (45.1099), Sociology (45.1101), Sociology and Anthropology (45.1301), Rural Sociology (45.1401), Ornamental Horticulture (01.0603), Computer Engineering, General (14.0901), Computer Hardware Engineering (14.0902), Computer Engineering, Other (14.0999), Computer Software Engineering (14.0903), Engineering Science (14.1301), Operations Research (14.3701), Biology/Biological Sciences, General (26.0101), Biomedical Sciences, General (26.0102), Biochemistry (26.0202), Mathematical Statistics and Probability (27.0502), Statistics, General (27.0501), Applied Mathematics, Other (27.0399), Mathematical Biology (27.0306), Financial Mathematics (27.0305), Computational and Applied Mathematics (27.0304), Computational Mathematics (27.0303), Applied Mathematics, General (27.0301), Mathematics, Other (27.0199), Molecular Biochemistry (26.0205), Molecular Biology (26.0204), Biophysics (26.0203), Mathematics, General (27.0101), Topology and Foundations (27.0105), Analysis and Functional Analysis (27.0103), Algebra and Number Theory (27.0102), Mathematics and Statistics, Other (27.9999), Statistics, Other (27.0599), Mathematics and Statistics (27.0503), Biological and Physical Sciences (30.0101), Biopsychology (30.1001), Biology Technician/Biotechnology Laboratory Technician (41.0101), Economics, General (45.0601), Applied Economics (45.0602), Econometrics and Quantitative Economics (45.0603), Development Economics and International Development (45.0604), International Economics (45.0605), Economics, Other (45.0699), Political Science


and Government, General (45.1001), American Government and Politics (United States (45.1002), Molecular Toxicology (26.1005), Environmental Toxicology (26.1006), Pharmacology and Toxicology (26.1007), Pharmacology and Toxicology, Other (26.1099), Biostatistics (26.1102), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Computational Biology (26.1104), Bioinformatics (26.1103), Biotechnology (26.1201), Ecology (26.1301), Marine Biology and Biological Oceanography (26.1302), Evolutionary Biology (26.1303), Aquatic Biology/Limnology (26.1304), Environmental Biology (26.1305), Population Biology (26.1306), Conservation Biology (26.1307), Systematic Biology/Biological Systematics (26.1308), Ecology and Evolutionary Biology (26.1310), Epidemiology (26.1309), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Molecular Medicine (26.1401), Neuroscience (26.1501), Neurobiology and Anatomy (26.1503), Neurobiology and Neurosciences, Other (26.1599), Biological and Biomedical Sciences, Other (26.9999), Astronomy (40.0201), Planetary Astronomy and Science (40.0203), Astrophysics (40.0202)



Advantage

Python 26478 (46%) 68.28% No No


SQL 24169 (42%) -17.78% No No





Big Data 12945 (23%) 47.24% No No

Java 11379 (20%) -9.83% No No

SAS 10774 (19%) 15.3% Yes No

R 9075 (16%) 50.52% No Yes

Tableau 8188 (14%) 77.87% No No



Statistics 7142 (12%) 0.22% No No

Statistical Analysis 6871 (12%) -19.77% No No



Skill Postings

Research 21201 (37%)


Teamwork /




Writing 8275 (14%)



Planning 6035 (10%)



Written



Analytical Skills 4068 (7%)

Microsoft Powerpoint 3881 (7%)

Decision Making 3648 (6%)



Salary Premium


Python 26478 (46%) 68.28% No No

SQL 24169 (42%) -17.78% No No



Java 11379 (20%) -9.83% No No

SAS 10774 (19%) 15.3% Yes No

R 9075 (16%) 50.52% No Yes


Tableau 8188 (14%) 77.87% No No


Scala 6272 (11%) 90.48% No No


Software Development 4682 (8%) 2.33% No No

Oracle 4584 (8%) -1.63% No No

NoSQL 4360 (8%) 46.91% No No

C++ 4312 (8%) -25.85% No No



Skill Postings




SQL Databases and



Big Data 19059 (33%)






Java 11427 (20%)

Data Management 11326 (20%)

Software Development

Principles 11309 (20%)

Data Warehousing 11207 (19%)

Data Techniques 11145 (19%)



Advantage



SAS 10774 (19%) 15.3% Yes No

Product Development 2220 (4%) -18.93% Yes No




Salary Premium



R 9075 (16%) 50.52% No Yes


UNIX 3223 (6%) -48.91% No Yes

PERL Scripting Language 2219 (4%) -37.38% No Yes

Metadata 2074 (4%) -14.26% No Yes






Project Management


IT Infrastructure Library (ITIL)


Certified Public Accountant

(CPA) 153 (0%) No No


Project Management

Professional (PMP) 130 (0%) No No


Auditor (CISA) 124 (0%) No No

CompTIA Security+ 121 (0%) No No

ITIL Certification 105 (0%) No No



Six Sigma Green Belt




Security Professional (CISSP) 74 (0%) No No


(CFA) 67 (0%) No No









PROJECT CRITERIA


Location Nationwide

Degree Level Doctoral degree

Time Period 1/1/2018 - 12/31/2018



Marketing Research (52.1402), Business Administration and Management, General (52.0201), Human Biology (30.2701), Natural Sciences (30.1801), Entomology (26.0702), Zoology/Animal Biology (26.0701), Microbiological Sciences and Immunology, Other (26.0599), Microbiology and Immunology (26.0508), Immunology (26.0507), Parasitology (26.0505), Virology (26.0504), Medical Microbiology and Bacteriology (26.0503), Microbiology, General (26.0502), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Cell Biology and Anatomy (26.0407), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Anatomy (26.0403), Cell/Cellular Biology and Histology (26.0401), Botany/Plant Biology, Other (26.0399), Plant Molecular Biology (26.0308), Plant Physiology (26.0307), Plant Pathology/Phytopathology (26.0305), Botany/Plant Biology (26.0301), Radiation Biology/Radiobiology (26.0209), Biochemistry and Molecular Biology (26.0210), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Molecular Biophysics (26.0206), Structural Biology (26.0207), Computer Science (11.0701), Information Science/Studies (11.0401), Informatics (11.0104), Information Technology (11.0103), Artificial Intelligence (11.0102), Soil Sciences, Other (01.1299), Soil Science and Agronomy, General (01.1201), Plant Sciences, Other (01.1199), Horticultural Science (01.1103), Animal Nutrition (01.0904), Animal Health (01.0903), Animal Sciences, General (01.0901), Toxicology (26.1004), Neuropharmacology (26.1003), Molecular Pharmacology (26.1002), Pharmacology (26.1001), Physiology, Pathology, and Related Sciences, Other (26.0999), Oncology and Cancer Biology (26.0911), Reproductive Biology (26.0905), Endocrinology (26.0904), Cell Physiology (26.0903), Molecular Physiology (26.0902), Physiology, General (26.0901), Genetics, Other (26.0899), Genome Sciences/Genomics (26.0807), Plant Genetics (26.0805), Animal Genetics (26.0804), Genetics, General (26.0801), Zoology/Animal Biology, Other (26.0799), Wildlife Biology (26.0709), Animal Behavior and Ethology


(26.0708), Animal Physiology (26.0707), Computer and Information Systems Security/Information Assurance (11.1003), Food Science (01.1001), Animal Sciences, Other (01.0999), Dairy Science (01.0905), Agroecology and Sustainable Agriculture (01.0308), Biological and Biomedical Sciences, Other (26.9999), Neurobiology and Neurosciences, Other (26.1599), Neurobiology and Anatomy (26.1503), Neuroscience (26.1501), Molecular Medicine (26.1401), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Ecology and Evolutionary Biology (26.1310), Systematic Biology/Biological Systematics (26.1308), Conservation Biology (26.1307), Population Biology (26.1306), Environmental Biology (26.1305), Aquatic Biology/Limnology (26.1304), Evolutionary Biology (26.1303), Marine Biology and Biological Oceanography (26.1302), Ecology (26.1301), Computational Biology (26.1104), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Bioinformatics (26.1103), Biostatistics (26.1102), Pharmacology and Toxicology, Other (26.1099), Pharmacology and Toxicology (26.1007), Environmental Toxicology (26.1006), Molecular Toxicology (26.1005), Agronomy and Crop Science (01.1102), Plant Sciences, General (01.1101), Agriculture, General (01.0000), Medical Informatics (51.2706), Econometrics and Quantitative Economics (45.0603), Applied Economics (45.0602), Economics, General (45.0601), Biology Technician/Biotechnology Laboratory Technician (41.0101), Biopsychology (30.1001), Biological and Physical Sciences (30.0101), Mathematics and Statistics, Other (27.9999), Mathematical Statistics and Probability (27.0502), Mathematics and Statistics (27.0503), Statistics, Other (27.0599), Mathematics, General (27.0101), Biophysics (26.0203), Molecular Biology (26.0204), Molecular Biochemistry (26.0205), Mathematics, Other (27.0199), Applied Mathematics, General (27.0301), Mathematical Biology (27.0306), Applied Mathematics, Other (27.0399), Statistics, General (27.0501), Biochemistry (26.0202), Biomedical Sciences, General (26.0102), Biology/Biological Sciences, General (26.0101), Engineering Science (14.1301)


For your project criteria, there were 29,709 job postings in the last 12 months.

Compared to:

• 28,525,903 total job postings in your selected location • 1,134,826 total job postings requesting a Doctoral degree in your selected location


GROWTH BY GEOGRAPHY





2013 2014 2015 2016 2017 2027

Employment (BLS) 586,780 600,360 615,780 663,420 557,020 597,549





2017)


Growth (2018-2027)

Data Analysis and Mathematics 21,926 NA 380,290 18.4% 6.7%


Biological Science 5,377 NA 51,770 4.0% 1.5%

Database Specialists 1,505 NA 113,690 0.0% 11.2%

Policy Analysis and Planning 779 NA 11,270 -5.5% 12.0%


122 NA NA NA NA





General Research 28,256 13.3%

Data Analysis and Mathematics 24,998 11.8%


Health and Medical Research 18,779 8.8%


Database Specialists 8,644 4.1%

Biological Science 7,687 3.6%

Chemical and Physical Science 7,098 3.3%

Financial Analysis 3,509 1.6%

Business Intelligence 3,231 1.5%

Front-End Application Design 2,856 1.3%

Diagnostic Technologists and Technicians 2,009 0.9%

Environmental and Climate Science 1,772 0.8%


Clinical Laboratory Technologists and Technicians 1,648 0.8%

Scientific Technicians 1,401 0.7%

Patient Care Technicians 1,041 0.5%

Rangers and Foresters 653 0.3%

Health IT Professionals 373 0.2%

Mid-Level Healthcare Therapists 326 0.2%




The average salary in the nation for graduates of your program is $105,077. This average salary is Above the average living wage for the nation of $31,450.





Biological Science $64,986 $70,703 $79,313


Policy Analysis and Planning $68,528 $75,747 $0

Clinical Laboratory Technologists and Technicians $57,723 $70,617 $0



Location Postings


California 9,209

New York 3,066

Massachusetts 3,041

Texas 1,843

Washington 1,646

New Jersey 1,455

Illinois 1,174


Virginia 1,048

Pennsylvania 956



PROJECT CRITERIA


Location Nationwide


Time Period 1/1/2018 - 12/31/2018




Marketing Research (52.1402), Business Administration and Management, General (52.0201), Human Biology (30.2701), Natural Sciences (30.1801), Entomology (26.0702), Zoology/Animal Biology (26.0701), Microbiological Sciences and Immunology, Other (26.0599), Microbiology and Immunology (26.0508), Immunology (26.0507), Parasitology (26.0505), Virology (26.0504), Medical Microbiology and Bacteriology (26.0503), Microbiology, General (26.0502), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Cell Biology and Anatomy (26.0407), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Anatomy (26.0403), Cell/Cellular Biology and Histology (26.0401), Botany/Plant Biology, Other (26.0399), Plant Molecular Biology (26.0308), Plant Physiology (26.0307), Plant Pathology/Phytopathology (26.0305), Botany/Plant Biology (26.0301), Radiation Biology/Radiobiology (26.0209), Biochemistry and Molecular Biology (26.0210), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Molecular Biophysics (26.0206), Structural Biology (26.0207), Computer Science (11.0701), Information Science/Studies (11.0401), Informatics (11.0104),


Information Technology (11.0103), Artificial Intelligence (11.0102), Soil Sciences, Other (01.1299), Soil Science and Agronomy, General (01.1201), Plant Sciences, Other (01.1199), Horticultural Science (01.1103), Animal Nutrition (01.0904), Animal Health (01.0903), Animal Sciences, General (01.0901), Toxicology (26.1004), Neuropharmacology (26.1003), Molecular Pharmacology (26.1002), Pharmacology (26.1001), Physiology, Pathology, and Related Sciences, Other (26.0999), Oncology and Cancer Biology (26.0911), Reproductive Biology (26.0905), Endocrinology (26.0904), Cell Physiology (26.0903), Molecular Physiology (26.0902), Physiology, General (26.0901), Genetics, Other (26.0899), Genome Sciences/Genomics (26.0807), Plant Genetics (26.0805), Animal Genetics (26.0804), Genetics, General (26.0801), Zoology/Animal Biology, Other (26.0799), Wildlife Biology (26.0709), Animal Behavior and Ethology (26.0708), Animal Physiology (26.0707), Computer and Information Systems Security/Information Assurance (11.1003), Food Science (01.1001), Animal Sciences, Other (01.0999), Dairy Science (01.0905), Agroecology and Sustainable Agriculture (01.0308), Biological and Biomedical Sciences, Other (26.9999), Neurobiology and Neurosciences, Other (26.1599), Neurobiology and Anatomy (26.1503), Neuroscience (26.1501), Molecular Medicine (26.1401), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Ecology and Evolutionary Biology (26.1310), Systematic Biology/Biological Systematics (26.1308), Conservation Biology (26.1307), Population Biology (26.1306), Environmental Biology (26.1305), Aquatic Biology/Limnology (26.1304), Evolutionary Biology (26.1303), Marine Biology and Biological Oceanography (26.1302), Ecology (26.1301), Computational Biology (26.1104), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Bioinformatics (26.1103), Biostatistics (26.1102), Pharmacology and Toxicology, Other (26.1099), Pharmacology and Toxicology (26.1007), Environmental Toxicology (26.1006), Molecular Toxicology (26.1005), Agronomy and Crop Science (01.1102), Plant Sciences, General (01.1101), Agriculture, General (01.0000), Medical Informatics (51.2706), Econometrics and Quantitative Economics (45.0603), Applied Economics (45.0602), Economics, General (45.0601), Biology Technician/Biotechnology Laboratory Technician (41.0101), Biopsychology (30.1001), Biological and Physical Sciences


(30.0101), Mathematics and Statistics, Other (27.9999), Mathematical Statistics and Probability (27.0502), Mathematics and Statistics (27.0503), Statistics, Other (27.0599), Mathematics, General (27.0101), Biophysics (26.0203), Molecular Biology (26.0204), Molecular Biochemistry (26.0205), Mathematics, Other (27.0199), Applied Mathematics, General (27.0301), Mathematical Biology (27.0306), Applied Mathematics, Other (27.0399), Statistics, General (27.0501), Biochemistry (26.0202), Biomedical Sciences, General (26.0102), Biology/Biological Sciences, General (26.0101), Engineering Science (14.1301)

OVERVIEW

#

% Change

(2013-2017)




Median Conferrals by Institution 16 -5.90%



Program Conferrals


Business Administration and Management, General 1,934 13.33%

Mathematics, General 1,126 7.76%

Biology/Biological Sciences, General 1,036 7.14%

Computer Science 993 6.84%

Other 9,425 64.94%





For-Profit 1,153 7.94%

Private 4,258 29.34%

Public 9,103 62.72%

TOP 10 INSTITUTIONS


Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

Northcentral

University

For-Profit

2.24% 1.52% 325 231.60%

Walden University For-

Profit 2.07% 1.13% 300 134.40%

Harvard University Private 1.58% 0.02% 230 8.50%


University of

California-Davis Public 1.50% -0.10% 217 -0.50%

Stanford University Private 1.47% 0.13% 213 17.00%

University of

California-Los

Angeles

Public 1.45% -0.10% 211 0.00%

University of

Minnesota-Twin

Cities

Public 1.41% -0.32% 204 -13.60%


at Urbana-

Champaign

Public 1.39% 0.00% 202 6.90%

University of


University of

California-Berkeley Public 1.32% -0.22% 191 -9.00%

TOP 10 PROGRAMS


(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

Business Administration

and Management,

General

13.33% 2.79% 1,934 34.70%

Mathematics, General 7.76% -0.60% 1,126 -1.10%


Biology/Biological

Sciences, General 7.14% -0.35% 1,036 1.50%

Computer Science 6.84% 0.30% 993 11.40%

Economics, General 6.21% -1.14% 901 -10.10%

Neuroscience 4.50% 0.59% 653 22.50%

Biomedical Sciences,

General 3.90% 0.57% 566 24.70%

Biochemistry 3.36% -0.65% 487 -11.00%

Cell/Cellular and

Molecular Biology 2.94% -0.38% 427 -5.50%

Statistics, General 2.76% 0.10% 400 10.20%

ACTIVE COMPETITORS


Market Share

(2017)

Market Share Change

Conferrals

(2017)

Conferrals Change

(2013-2017)

University of

California-Davis Public 8.18% -0.30% 217 -0.50%

University of

California-Los

Angeles

Public 7.95% -0.26% 211 0.00%

University of

Minnesota-Twin

Cities

Public 7.69% -1.49% 204 -13.60%



at Urbana-

Champaign

Public 7.61% 0.26% 202 6.90%

University of


University of Florida Public 6.75% -0.41% 179 -2.70%

Pennsylvania State

University-Main

Campus

Public 6.67% -1.26% 177 -13.20%

University of North

Carolina at Chapel

Hill

Public 6.60% 0.84% 175 18.20%

Ohio State

University-Main

Campus

Public 6.29% 0.22% 167 7.10%

Texas A & M

University-College

Station

Public 6.07% 1.83% 161 47.70%

University of

Washington-Seattle

Campus

Public 5.62% -0.49% 149 -5.10%

Michigan State


Arizona State



University of

Maryland-College

Park

Public 3.77% -0.90% 100 -16.70%

The University of


University of Arizona Public 3.47% -0.26% 92 -4.20%

University of Iowa Public 3.43% -0.58% 91 -11.70%

Northern Arizona


Arizona State

University-

Polytechnic

Public 0.04% 0.00% 1 0.00%

Arizona State

University-

Downtown Phoenix

Public 0.00% -0.08% -100.00%

Arizona State


Arizona State

University-Skysong Public 0.00% 0.00%

University of




PROJECT CRITERIA

Explore Occupations

Location Nationwide


Time Period 1/1/2018 - 12/31/2018



Marketing Research (52.1402), Business Administration and Management, General (52.0201), Human Biology (30.2701), Natural Sciences (30.1801), Entomology (26.0702), Zoology/Animal Biology (26.0701), Microbiological Sciences and Immunology, Other (26.0599), Microbiology and Immunology (26.0508), Immunology (26.0507), Parasitology (26.0505), Virology (26.0504), Medical Microbiology and Bacteriology (26.0503), Microbiology, General (26.0502), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Cell Biology and Anatomy (26.0407), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Anatomy (26.0403), Cell/Cellular Biology and Histology (26.0401), Botany/Plant Biology, Other (26.0399), Plant Molecular Biology (26.0308), Plant Physiology (26.0307), Plant Pathology/Phytopathology (26.0305), Botany/Plant Biology (26.0301), Radiation Biology/Radiobiology (26.0209), Biochemistry and Molecular Biology (26.0210), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Molecular Biophysics (26.0206), Structural Biology (26.0207), Computer Science (11.0701), Information Science/Studies (11.0401), Informatics (11.0104), Information Technology (11.0103), Artificial Intelligence (11.0102), Soil Sciences, Other (01.1299), Soil Science and Agronomy, General (01.1201), Plant Sciences, Other (01.1199), Horticultural Science (01.1103), Animal Nutrition (01.0904), Animal Health (01.0903),


Animal Sciences, General (01.0901), Toxicology (26.1004), Neuropharmacology (26.1003), Molecular Pharmacology (26.1002), Pharmacology (26.1001), Physiology, Pathology, and Related Sciences, Other (26.0999), Oncology and Cancer Biology (26.0911), Reproductive Biology (26.0905), Endocrinology (26.0904), Cell Physiology (26.0903), Molecular Physiology (26.0902), Physiology, General (26.0901), Genetics, Other (26.0899), Genome Sciences/Genomics (26.0807), Plant Genetics (26.0805), Animal Genetics (26.0804), Genetics, General (26.0801), Zoology/Animal Biology, Other (26.0799), Wildlife Biology (26.0709), Animal Behavior and Ethology (26.0708), Animal Physiology (26.0707), Computer and Information Systems Security/Information Assurance (11.1003), Food Science (01.1001), Animal Sciences, Other (01.0999), Dairy Science (01.0905), Agroecology and Sustainable Agriculture (01.0308), Biological and Biomedical Sciences, Other (26.9999), Neurobiology and Neurosciences, Other (26.1599), Neurobiology and Anatomy (26.1503), Neuroscience (26.1501), Molecular Medicine (26.1401), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Ecology and Evolutionary Biology (26.1310), Systematic Biology/Biological Systematics (26.1308), Conservation Biology (26.1307), Population Biology (26.1306), Environmental Biology (26.1305), Aquatic Biology/Limnology (26.1304), Evolutionary Biology (26.1303), Marine Biology and Biological Oceanography (26.1302), Ecology (26.1301), Computational Biology (26.1104), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Bioinformatics (26.1103), Biostatistics (26.1102), Pharmacology and Toxicology, Other (26.1099), Pharmacology and Toxicology (26.1007), Environmental Toxicology (26.1006), Molecular Toxicology (26.1005), Agronomy and Crop Science (01.1102), Plant Sciences, General (01.1101), Agriculture, General (01.0000), Medical Informatics (51.2706), Econometrics and Quantitative Economics (45.0603), Applied Economics (45.0602), Economics, General (45.0601), Biology Technician/Biotechnology Laboratory Technician (41.0101), Biopsychology (30.1001), Biological and Physical Sciences (30.0101), Mathematics and Statistics, Other (27.9999), Mathematical Statistics and Probability (27.0502), Mathematics and Statistics (27.0503), Statistics, Other (27.0599), Mathematics, General (27.0101), Biophysics (26.0203), Molecular Biology (26.0204), Molecular Biochemistry (26.0205), Mathematics, Other (27.0199), Applied Mathematics, General (27.0301), Mathematical Biology (27.0306), Applied Mathematics, Other (27.0399), Statistics, General (27.0501), Biochemistry (26.0202), Biomedical Sciences, General (26.0102), Biology/Biological Sciences, General (26.0101), Engineering Science (14.1301)



TOP TITLES



(%)

Data Scientist 3,891 17.60%

Senior Data Scientist 1,349 6.10%

Machine Learning Scientist 1,119 5.06%

Data Analyst 1,050 4.75%

Biostatistician 857 3.88%

Biologist 813 3.68%


Data Engineer 345 1.56%

Principal Data Scientist 282 1.28%


Lead Data Scientist 244 1.10%

Senior Scientist 209 0.95%

Natural Language Processing Scientist 195 0.88%

Director, Data,Science 181 0.82%

Research Scientist 171 0.77%

Senior Data Engineer 164 0.74%




(%)

Capital Markets Placement 493 2.23%

Amazon 329 1.49%


Capital One 295 1.33%

KPMG 273 1.23%

Johnson & Johnson 186 0.84%

Booz Allen Hamilton Inc. 184 0.83%


IBM 178 0.81%

Pfizer 178 0.81%

Covance Incorporated 162 0.73%

Apple Inc. 142 0.64%

Walmart / Sam's 139 0.63%

Merck & Company 132 0.60%

American Express 122 0.55%

Sanofi Aventis 116 0.52%



PROJECT CRITERIA


Location Nationwide


Time Period 1/1/2018 - 12/31/2018



Marketing Research (52.1402), Business Administration and Management, General (52.0201), Human Biology (30.2701), Natural Sciences (30.1801), Entomology (26.0702), Zoology/Animal Biology (26.0701), Microbiological Sciences and Immunology, Other (26.0599), Microbiology and Immunology (26.0508), Immunology (26.0507), Parasitology (26.0505), Virology (26.0504), Medical Microbiology and Bacteriology (26.0503), Microbiology, General (26.0502), Cell/Cellular and Molecular Biology (26.0406), Developmental Biology and Embryology (26.0404), Cell Biology and Anatomy (26.0407), Cell/Cellular Biology and Anatomical Sciences, Other (26.0499), Anatomy (26.0403), Cell/Cellular Biology and Histology (26.0401), Botany/Plant Biology, Other (26.0399), Plant Molecular Biology (26.0308), Plant Physiology (26.0307), Plant Pathology/Phytopathology (26.0305), Botany/Plant Biology (26.0301), Radiation Biology/Radiobiology (26.0209), Biochemistry and Molecular Biology (26.0210), Biochemistry, Biophysics and Molecular Biology, Other (26.0299), Molecular Biophysics (26.0206), Structural Biology (26.0207), Computer Science (11.0701), Information Science/Studies (11.0401), Informatics (11.0104), Information Technology (11.0103), Artificial Intelligence (11.0102), Soil Sciences, Other (01.1299), Soil Science and Agronomy, General (01.1201), Plant Sciences, Other (01.1199), Horticultural Science (01.1103), Animal Nutrition (01.0904), Animal Health (01.0903), Animal Sciences, General (01.0901), Toxicology (26.1004), Neuropharmacology (26.1003), Molecular Pharmacology (26.1002),


Pharmacology (26.1001), Physiology, Pathology, and Related Sciences, Other (26.0999), Oncology and Cancer Biology (26.0911), Reproductive Biology (26.0905), Endocrinology (26.0904), Cell Physiology (26.0903), Molecular Physiology (26.0902), Physiology, General (26.0901), Genetics, Other (26.0899), Genome Sciences/Genomics (26.0807), Plant Genetics (26.0805), Animal Genetics (26.0804), Genetics, General (26.0801), Zoology/Animal Biology, Other (26.0799), Wildlife Biology (26.0709), Animal Behavior and Ethology (26.0708), Animal Physiology (26.0707), Computer and Information Systems Security/Information Assurance (11.1003), Food Science (01.1001), Animal Sciences, Other (01.0999), Dairy Science (01.0905), Agroecology and Sustainable Agriculture (01.0308), Biological and Biomedical Sciences, Other (26.9999), Neurobiology and Neurosciences, Other (26.1599), Neurobiology and Anatomy (26.1503), Neuroscience (26.1501), Molecular Medicine (26.1401), Ecology, Evolution, Systematics and Population Biology, Other (26.1399), Ecology and Evolutionary Biology (26.1310), Systematic Biology/Biological Systematics (26.1308), Conservation Biology (26.1307), Population Biology (26.1306), Environmental Biology (26.1305), Aquatic Biology/Limnology (26.1304), Evolutionary Biology (26.1303), Marine Biology and Biological Oceanography (26.1302), Ecology (26.1301), Computational Biology (26.1104), Biomathematics, Bioinformatics, and Computational Biology, Other (26.1199), Bioinformatics (26.1103), Biostatistics (26.1102), Pharmacology and Toxicology, Other (26.1099), Pharmacology and Toxicology (26.1007), Environmental Toxicology (26.1006), Molecular Toxicology (26.1005), Agronomy and Crop Science (01.1102), Plant Sciences, General (01.1101), Agriculture, General (01.0000), Medical Informatics (51.2706), Econometrics and Quantitative Economics (45.0603), Applied Economics (45.0602), Economics, General (45.0601), Biology Technician/Biotechnology Laboratory Technician (41.0101), Biopsychology (30.1001), Biological and Physical Sciences (30.0101), Mathematics and Statistics, Other (27.9999), Mathematical Statistics and Probability (27.0502), Mathematics and Statistics (27.0503), Statistics, Other (27.0599), Mathematics, General (27.0101), Biophysics (26.0203), Molecular Biology (26.0204), Molecular Biochemistry (26.0205), Mathematics, Other (27.0199), Applied Mathematics, General (27.0301), Mathematical Biology (27.0306), Applied Mathematics, Other (27.0399), Statistics, General (27.0501), Biochemistry (26.0202), Biomedical Sciences, General (26.0102), Biology/Biological Sciences, General (26.0101), Engineering Science (14.1301)




Advantage

Python 16269 (50%) 68.28% No No

Data Science 16060 (49%) 57.38% No No

Machine Learning 13760 (42%) 110.12% No No

SQL 10405 (32%) -17.78% No No


Java 7070 (22%) -9.83% No No


Big Data 6192 (19%) 47.24% No No

SAS 5596 (17%) 15.3% Yes No

R 5422 (17%) 50.52% No Yes



Statistics 4273 (13%) 0.22% No No

Experiments 4243 (13%) 7.92% No No

Statistical Analysis 4103 (13%) -19.77% No No

Biology 4070 (12%) -26.71% No No


Skill Postings

Research 15694 (48%)


Teamwork /




Writing 4596 (14%)


Written



Planning 2806 (9%)




Verbal / Oral


Troubleshooting 1615 (5%)


Decision Making 1598 (5%)



Salary Premium


Python 16269 (50%) 68.28% No No

SQL 10405 (32%) -17.78% No No

Java 7070 (22%) -9.83% No No


SAS 5596 (17%) 15.3% Yes No

R 5422 (17%) 50.52% No Yes

Scala 3790 (12%) 90.48% No No

C++ 3587 (11%) -25.85% No No



MATLAB 2759 (8%) -5.89% No No

Software Development 2554 (8%) 2.33% No No

Tableau 2414 (7%) 77.87% No No


Linux 2253 (7%) -7.6% No No



Skill Postings






SQL Databases and


Big Data 9944 (30%)



Java 7087 (22%)

Software Development

Principles 6065 (19%)


Data Mining 5254 (16%)

Biology 4565 (14%)

Genetics 4394 (13%)





Advantage

SAS 5596 (17%) 15.3% Yes No

Product Development 1816 (6%) -18.93% Yes Yes

Data Engineering 1099 (3%) 113.85% Yes No



Salary Premium


R 5422 (17%) 50.52% No Yes


Software Engineering 1974 (6%) 18.36% No Yes


Statistical Methods 1869 (6%) -12.39% No Yes

Product Development 1816 (6%) -18.93% Yes Yes

UNIX 1658 (5%) -48.91% No Yes

PERL Scripting Language 1551 (5%) -37.38% No Yes

Data Transformation 1393 (4%) 9.35% No Yes

Data Warehousing 1072 (3%) -28.29% No Yes

Business Intelligence 798 (2%) -23.34% No Yes

Metadata 360 (1%) -14.26% No Yes







Project Management




(CFA) 30 (0%) No No

IT Infrastructure Library (ITIL)


American Society For Clinical

Pathology (ASCP) Certification 28 (0%) No No

Pest Control Applicator 28 (0%) No No

Board Certified/Board Eligible 26 (0%) No No

Project Management

Professional (PMP) 23 (0%) No No

Fellow of the Casualty

Actuarial Society (FCAS) 23 (0%) No No



Certified ScrumMaster (CSM) 19 (0%) No No


Security Professional (CISSP) 18 (0%) No No







Harvill Building, 4th Floor 1103 E 2nd St. Tucson, AZ 85721 520.621.3565 520.621.3279 si.arizona.edu

Arizona’s First University – Since 1885

October 29, 2018 Kitt Farrell-Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721-0038 Dear Dr. Farrell-Poe, This is a letter of support for the proposed non-engineering undergraduate degree program, Biosystems Technology & Analytics. I have reviewed the Implementation Request and the new program poses no conflict for programs in the School of Information. I believe that the degree will strengthen the options available for students at the University of Arizona and will help to prepare them for degrees in the 4th Industrial Revolution. We have the capacity to include the projected number of new students in the requested courses of ESOC 214, Introduction to Data Science, and ISTA 131, Dealing with Data. We are eager to welcome students from Biosystems Technology & Analytics into our relevant courses. Indeed, many students from many engineering degrees already attend our courses. Sincerely, P. Bryan Heidorn Director, School of Information

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Jondall, Dava Renee - (davaj)

From: Impey, Christopher D - (cimpey)Sent: Thursday, November 1, 2018 5:03 PMTo: Farrell-Poe, Kathryn L - (kittfp)Cc: [email protected]: Re: College of Science class in support of Biosystems Engineering non-engineering

major

Kathryn, I just met with Daniel Stolte and he will continue to offer 401/501 each fall semester so you can include it in your list for the new program. I will try to get him TA support so that he can raise enrollment from 15 to at least 20, which will help to handle the demand. Chris _______________________________________ Chris Impey University Distinguished Professor of Astronomy Associate Dean, College of Science University of Arizona, Tucson AZ 85721 Phone: (520) 621‐0656 (CoS), 621‐6522 (Ast) Email: [email protected] URL: www.chrisimpey.com

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Monday, October 29, 2018 4:07 PM To: Impey, Christopher D ‐ (cimpey) Cc: [email protected] Subject: College of Science class in support of Biosystems Engineering non‐engineering major Good Afternoon Chris, I’m not sure I understand if you are supporting our plan to require SCI 401, Science Communication, as one of three choices to fulfill our writing in the sciences requirement. Thanks, Kitt

From: Impey, Christopher D ‐ (cimpey) Sent: Monday, October 29, 2018 3:01 PM To: Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]> Cc: [email protected] Subject: Re: new Biosystems Engineering non‐engineering major Hi, both of these are CALS courses, not in our college (that's not a problem or issues for the certificate). ENVS is 408/508 so grads can take it, the other is only for undergraduates. Regards, Chris

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_______________________________________ Chris Impey University Distinguished Professor of Astronomy Associate Dean, College of Science University of Arizona, Tucson AZ 85721 Phone: (520) 621‐0656 (CoS), 621‐6522 (Ast) Email: [email protected] URL: www.chrisimpey.com

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Monday, October 29, 2018 12:58 PM To: Impey, Christopher D ‐ (cimpey) Cc: [email protected] Subject: RE: new Biosystems Engineering non‐engineering major Good Afternoon Chris, The other two scientific writing courses that the undergraduate students can choose from are: ENVS 408, Scientific Writing for Environmental, Agricultural, and Life Sciences (spring semesters) ALC/AGTM 422, Communicating Knowledge in Agriculture and the Life Sciences (fall semesters, summer) The courses you list are 500‐level. Would undergraduates be able to register for these? Kitt

From: Impey, Christopher D ‐ (cimpey) Sent: Friday, October 26, 2018 7:32 AM To: Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]> Cc: [email protected] Subject: new Biosystems Engineering non‐engineering major Hi Kathryn, I want to support the writing requirement for your new program. A first question, what are the other two courses you would be using, in addition to SCI 401/501? I'm in conversation with Daniel Stolte, who teaches that course, and he intends to keep offering once a year, and I'll try and support him with a partial TA. It usually fills to the cap of 15 students, and with TA support he may be able to handle 20. But note we have other suitable courses in the certificate list, see the web link: https://cos.arizona.edu/content/graduate‐certificate‐science‐communication In particular JOUR 506 and 572, taught every year by Carol Schwalbe, and also ENGL 514 and MCB 575. All are writing‐intensive. Could you have a slightly more expansive list of courses to meet that requirement? I also note that the certificate is available to all M.Sc. and Ph.D. students, not

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just those in the College of Science. So all your grads are eligible. Regards, Chris

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Thursday, October 25, 2018 1:15 PM To: Impey, Christopher D ‐ (cimpey); Cheu, Elliott C ‐ (echeu) Cc: [email protected] Subject: RE: AGED course identified in new Biosystems Engineering non‐engineering major Hi Christopher, First, sorry for the error in the Subject line. It was supposed to read CoSc course identified. Second, since the students have a choice between 3 classes, the actual number of students will be less. It is not our intent to cause any hardships for CoSc, so if including SCI 401 from the list of acceptable classes does cause issues, then I’m OK in removing it from the choices for scientific writing. Your thoughts? Kitt

From: Impey, Christopher D ‐ (cimpey) Sent: Thursday, October 25, 2018 1:08 PM To: Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]>; Cheu, Elliott C ‐ (echeu) <[email protected]> Cc: [email protected] Subject: Re: AGED course identified in new Biosystems Engineering non‐engineering major Kathryn, it sounds like an exciting new program. SCI 401/501 is taught by Daniel Stolte, who is not paid by us to teach so he does it as he can, and has kept up doing it one semester a year for the past 3‐4. I have checked in with him on his future commitment to the class. With that extra level of enrollment, we might have to make an arrangement to pay him. Chris

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Thursday, October 25, 2018 9:30:20 AM To: Cheu, Elliott C ‐ (echeu) Cc: Impey, Christopher D ‐ (cimpey) Subject: RE: AGED course identified in new Biosystems Engineering non‐engineering major Thank you Elliott!

From: Cheu, Elliott C ‐ (echeu) Sent: Wednesday, October 24, 2018 9:23 PM To: Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]> Cc: Impey, Christopher D ‐ (cimpey) <[email protected]> Subject: RE: AGED course identified in new Biosystems Engineering non‐engineering major

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Dear Kathryn, This sounds very interesting. Chris Impey (cc’d here) is leading this effort, and can best respond to your request. Best regards, Elliott Cheu, Ph.D. Associate Dean, College of Science Distinguished Professor of Physics University of Arizona (520) 621‐4090

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Wednesday, October 24, 2018 2:01 PM To: Cheu, Elliott C ‐ (echeu) <[email protected]> Subject: AGED course identified in new Biosystems Engineering non‐engineering major Good Afternoon Dr. Cheu, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified SCI 401, Science Communication, as one of three choices for fulfilling our writing in the sciences requirement. I’m contacting you because the course home appears to be “Science Administration” so no department head is in charge. Because this is such a new degree program, we are projecting 20 new students/year starting in year 1 and growing by 15 students/year. I’m writing to obtain your support for our plan to require this class in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona

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From: Chen, Zhao - (zchen)Sent: Thursday, November 1, 2018 6:08 PMTo: Farrell-Poe, Kathryn L - (kittfp)Cc: Doug Taren ([email protected]) ([email protected]); Bedrick, Edward John -

(edwardjbedrick)Subject: RE: BIOS course identified in new Biosystems Engineering non-engineering major

Dear Dr. Farrell‐Poe, We have discussed your requested and agreed to have BIOS376 as one of your three choices for fulfilling your introduction to statistics requirement. Best wishes, Zhao Zhao Chen, PhD, MPH Professor and Chair Department of Epidemiology and Biostatistics Mel and Enid Zuckerman College of Public Health Director Confucius Institute at the University of Arizona [email protected] 520‐626‐9011

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Thursday, November 1, 2018 5:25 PM To: Chen, Zhao ‐ (zchen) <[email protected]> Subject: RE: BIOS course identified in new Biosystems Engineering non‐engineering major Good Afternoon Dr. Chen, Have you come to any conclusions about Biosystems Engineering using BIOS 376 as one of our three choices for fulfilling our introduction to statistics requirement? Kitt

From: Chen, Zhao ‐ (zchen) Sent: Thursday, October 25, 2018 5:46 PM To: Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]> Subject: Re: BIOS course identified in new Biosystems Engineering non‐engineering major Dear Kathryn,

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I will get back to you next week. Thanks, Zhao

Sent from my iPhone On Oct 25, 2018, at 4:32 PM, Farrell‐Poe, Kathryn L ‐ (kittfp) <[email protected]> wrote:

Good Afternoon Dr. Chen, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified one BIOS course that will be one of three choices for fulfilling our introduction to statistics requirement: BIOS 376, Introduction to Biostatistics. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require this class in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

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From: Miesfeld, Roger L - (rlm)Sent: Monday, October 22, 2018 5:25 PMTo: Farrell-Poe, Kathryn L - (kittfp)Cc: Miesfeld, Roger L - (rlm); Sanov, Andrei M - (sanov)Subject: Re: CHEM and BIOC courses identified in new Biosystems Engineering non-engineering

major

Kitt, For students in the Biosystems Technology and Analytics Program as proposed: Yes on Bioc 384; Foundations in Biochemistry. Biosystems students; Principles of Modern Chemistry; Chem 141/143 (lecture and lab) and Chem 142/144 (lecture and lab) Roger =================== Roger L Miesfeld, PhD CBC Department Head Distinguished Professor Chemistry & Biochemistry Bio Sciences West rm. 368 The University of Arizona Tucson, Arizona 85721 Email: [email protected] Tel: 520.626.2343 http://www.cbc.arizona.edu

From: "Farrell‐Poe, Kathryn L ‐ (kittfp)" <[email protected]> Date: Monday, October 22, 2018 at 3:28 PM To: Roger Miesfeld <[email protected]> Subject: CHEM and BIOC courses identified in new Biosystems Engineering non‐engineering major Good Afternoon Dr. Miesfeld, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision

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agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified several courses offered by the Chemistry & Biochemistry Department. One of the courses, BIOC 384, Foundations in Biochemistry, will be one of three choices for fulfilling our last semester of science requirement. We are also requiring the first full year of chemistry through CHEM 151 and CHEM 152. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require these courses in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

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From: Schroeder, Joyce A - (joyces)Sent: Monday, October 22, 2018 4:17 PMTo: Farrell-Poe, Kathryn L - (kittfp)Subject: Re: MCB courses identified in new Biosystems Engineering non-engineering major

Hi Kitt, Yes, you have my support, do you also need a letter/memo or is the email enough? Joyce

From: "Farrell‐Poe, Kathryn L ‐ (kittfp)" <[email protected]> Date: Monday, October 22, 2018 at 3:46 PM To: "Schroeder, Joyce A ‐ (joyces)" <[email protected]> Subject: MCB courses identified in new Biosystems Engineering non‐engineering major Good Afternoon Dr. Schroeder, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. We are requiring one year of biology In our required supporting coursework. Your MCB 181R and MCB 181L was identified as the required first semester biology courses. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require these courses in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963

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From: Chorover, Jon - (chorover)Sent: Sunday, October 21, 2018 2:36 PMTo: Farrell-Poe, Kathryn L - (kittfp)Subject: RE: ENVS course identified in new Biosystems Engineering non-engineering major

Hi Kitt, Yes, we are happy to provide confirmation of our support for your plan to require ENVS 408 in your supporting coursework. Best wishes, Jon ----------------------------------- Jon Chorover Professor and Head Department of Soil, Water and Environmental Science University of Arizona Tucson, AZ 85721-0038 Phone: (520) 621-1646 Fax: (520) 621-1647 Email: [email protected] https://swes.cals.arizona.edu/people/faculty/jon-chorover From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Wednesday, October 17, 2018 11:58 AM To: Chorover, Jon ‐ (chorover) <[email protected]> Subject: ENVS course identified in new Biosystems Engineering non‐engineering major Good Morning Jon, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified one ENVS course that will be one of three choices for fulfilling our writing in the sciences requirement: ENVS 408, Scientific Writing for Environmental, Agricultural, and Life Sciences. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require this class in our supporting coursework.

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The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

1


From: Torres, Robert M - (rtorres1)Sent: Wednesday, October 17, 2018 3:12 PMTo: Farrell-Poe, Kathryn L - (kittfp)Cc: Mars, Matthew M - (mmars)Subject: RE: AGED course identified in new Biosystems Engineering non-engineering major

Hi Kitt, Thank you for the email and request. I’ve had the opportunity to visit with Matt (cc’d here), who teaches the course regarding his capacity to accommodate students as a result of your request. We both fully support your proposal to require ALC422 as a supporting course for your non‐engineering degree programs. Let me know if you have questions. We look forward to having BE students in the course. Best, Bobby

B. Torres

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Wednesday, October 17, 2018 11:52 AM To: Torres, Robert M ‐ (rtorres1) <[email protected]> Subject: AGED course identified in new Biosystems Engineering non‐engineering major Good Morning Bobby, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified one ALC/AGTM course that will be one of three choices for fulfilling our writing in the sciences requirement: ALC/AGTM 422, Communicating Knowledge in Agriculture and the Life Sciences. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require this class in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐

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Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

1


From: Thompson, Gary D - (gdthomps)Sent: Wednesday, October 17, 2018 4:21 PMTo: Farrell-Poe, Kathryn L - (kittfp)Subject: Re: AREC course identified in new Biosystems Engineering non-engineering major

Good afternoon Kitt, Wow, sounds like a very innovative degree to offer. Are you planning to offer online and distance as well as on campus? I wanted to check first with Satheesh Aradhyula, who is teaching AREC239, to get his thoughts. He is foursquare behind including the class as one of the choices for fulfilling introductory statistics. We‐‐mostly Satheesh‐‐decided to offer the course after offering one semester of a cross‐listed introductory statistics course with FCS. That course did not require college algebra. Satheesh found that trying to teach the course without college algebra was just too difficult for him as well as for students. So AREC239 does require college algebra. Just a disclaimer so that you know not all introductory statistics courses are created equally. So please include our course in your list of options. Best of luck offering your new major! Very exciting times for Biosystems Engineering. Kind regards, Gary ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Gary Thompson Professor and Head Department of Agricultural & Resource Economics McClelland Park 304C 650 N. Park Ave. Tucson, AZ 85719 Tel. 520.621.6242 Cell. 520.275.2015 https://cals.arizona.edu/arec/faculty/gary‐thompson ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Wednesday, October 17, 2018 11:55 AM To: Thompson, Gary D ‐ (gdthomps) Subject: AREC course identified in new Biosystems Engineering non‐engineering major Good Morning Gary,

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The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified one AREC course that will be one of three choices for fulfilling our introduction to statistics requirement: AREC 239, Introduction to Statistics and Data Analysis. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require this class in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038 Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

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From: Stock, S Patricia Patricia - (spstock)Sent: Monday, October 29, 2018 5:12 PMTo: Farrell-Poe, Kathryn L - (kittfp)Subject: Re: MIC courses identified in new Biosystems Engineering non-engineering major

Hi Kitt, I do not see a problem in having BE students in these two MIC courses, at least with the anticipated enrollment. Please let me know if you need a formal letter, or if this email reply is suffice. Cheers, 5

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From: Farrell‐Poe, Kathryn L ‐ (kittfp) Sent: Monday, October 29, 2018 5:06:38 PM To: Stock, S Patricia Patricia ‐ (spstock) Subject: MIC courses identified in new Biosystems Engineering non‐engineering major Good Afternoon Patricia, The Biosystems Engineering Department is proposing new non‐engineering undergraduate and associated graduate degree programs with the degree name of Biosystems Technology & Analytics. This new program will combine applied data science and analytics with applied engineering to take a systems‐level approach to technological design & development at the nexus of food, water, and energy. This program will support training opportunities in precision agriculture, remote sensing, water management, statistical informatics, data‐mining, and cyberinfrastructure development. This new program will assist students to find jobs in the 4th Industrial Revolution. In our required supporting coursework, we identified 2 courses offered by the Microbiology Department: MIC 205A and MIC 205L. These courses will be one set of three choices for fulfilling our last semester of science requirement. Because this is such a new degree program, we are projecting 15 new students/year starting in year 1. I’m writing to obtain your support for our plan to require these courses in our supporting coursework. The Biosystems Engineering department looks forward to our continuing collaborations and mutual student development. Kitt ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐ Kitt Farrell‐Poe, Ph.D. Department Head, Specialist, & Professor Biosystems Engineering Department The University of Arizona Shantz Bldg, #38, Room 403 1177 E. 4th Street Tucson, AZ 85721‐0038

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Departmental Web Page: http://be.arizona.edu/ Voice: 520‐626‐9120 Fax: 520‐621‐3963 Email: [email protected] Faculty Web Page: http://be.arizona.edu/person/kitt‐farrell‐poe

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