These days, big data is a big deal, and it is everywhere — from professional sports to healthcare, and from e-commerce to government sectors. As the use of analytics grows, so does the demand for people who know how to skillfully extract value from massive amounts of data. The University of New Hampshire’s Master of Science in Analytics degree prepares graduates to fill the current gap in the marketplace. Analytics experts are needed — and in just 11 months, you can become one of them.

MASTER OF SCIENCE

Schedule a tour, apply, or get more information today.

unh.analytics@unh.edu

603.862.0803

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unh.edu/analytics

Analytics

Program Highlights

Interdisciplinary approach with the opportunity to specialize in healthcare, marketing, operations management, or self-design study.

Work in analytics teams on projects sponsored by our industry partners.

Gain expertise in advanced predictive modeling, market segmentation and text analysis.

Master programming languages like Python, SQL, R and SAS, and become fluent in big data frameworks like Hadoop and MapReduce.

Intensive, full-time, on-campus program provides a specialized set of skills in just 11 months of study. Learn. Apply. Lead.

University of New Hampshire at Manchester | 400 Commercial Street, Manchester, New Hampshire 03101Office of Admissions | 603-641-4150 | unhm.admissions@unh.edu | manchester.unh.eduUniversity of New Hampshire | Durham, New Hampshire | unh.edu

Master of Science in Analytics | unh.analytics@unh.edu | 603.862.0803

* according to the McKinsey Global Institute ** according to the Education Advisory Board

From 2010 to 2013, there was a

32% increase in demand for college graduates with data analytics skills **

By 2018, the U.S. will face a shortage of between

140,000-190,000people with the technical skills necessary to work effectively with data *

For more information, visit unh.edu/analytics

• Healthcare data analyst• Data visualization analyst• Digital marketing analyst• Data modeler

• Cybersecurity analyst • Forecast analyst • SQL server developer

Professional possibilites include:

Master of Science in Analytics Curriculum Outline

Business

Data Architecture

Matrix AlgebraCustomer Analytics & Segmentation I & IIOptimization & Risk AnalyticsBig Data I & IIData Mining I & IIText Mining I & IISimulationCompatibility Across SoftwaresBayesian AnalysisMachine Learning Algorithms I & IIPracticum Project & Industry ProjectData Cleaning and Management I & IISAS ProgrammingPython Programming I & II

DATA 800Statistics

Primer

DATA 801Foundations

of DataAnalytics

DATA 802AnalyticalTools and

Foundations

DATA 803Introductionto AnalyticsApplications

DATA 900Data

Architecture

DATA 901Analytics

ApplicationsI

DATA 911Analytics

Practicum I

DATA 902AnalyticsMethods

DATA 903Analytics

ApplicationsII

DATA 912Analytics

Practicum II

ClusterElective Course

ClusterElectiveCourse

Algebra

Intelligence

Machine Learning

Practicum

Modules Sub Modules Semester/ Course Number/ Course Name

Summer Fall Spring1 2 3

5

2

2

1

2

54

2

2

3

6

- Denotes number of weeks www.unh.edu/analytics/

SAS Boot CampRProbabilityStatistical Inference

Data Exploration & ImputationIntro. to Predictive ModelingTime Series & Forecasting I & II

Multivariate TechniquesAdvanced Predictive ModelingDesign of ExperimentsPropensity Score MatchingSurvival AnalyticsSurvey & PsychometryVisualization I & II

1

1

2

2

3

3

2

2

3

2

3

2

3

32

Visual Analytics

Statistics

Programming

1

1

1

X

X

3

3

53 X

4

4

24

X

3

X - Semester Long

Learn why Forbes called Data Scientist the most promising job of 2016.

* according to the McKinsey Global Institute ** according to the Education Advisory Board

From 2010 to 2013, there was a

32% increase in demand for college graduates with data analytics skills **

By 2018, the U.S. will face a shortage of between

140,000-190,000people with the technical skills necessary to work effectively with data *

Putting Your Degree to WorkOur students graduate with cutting-edge technical skills and the strong collaborative and communications know-how essential for data analytics careers. Possible industries include aerospace, financial, legal, manufacturing, marketing, and healthcare.

Class of 2016