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2016 SAS Analytics Day

SAS and OSU Analytics ProgramsGoutam Chakraborty

Director, MS in Business Analytics

Director, Graduate certificate in Business Data Mining

Director, Graduate Certificate in marketing Analytics

Agenda

• Conference details• An overview of our analytics programs

• History and development of our programs• Calendar year 2015 program highlights• Curriculum overview• How you can engage with us

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Thanks to Our Sponsors and Corporate Advisory Board of Companies

Conference Attendees (Companies)

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Program Speakers

David AhujaWalmart

Ray BoyleWalmart

Fritz LehmanSAS

Eric NyabiosiComcast

Panel Members

RamcharanKakarlaComcast

ZabiullaMohammedWalmart

BalamuruganMohanH&R Block

Vandana ReddyAAA

Sumit SukhwaniWest Corporation

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24 Student Poster Presentations

• Please visit with them during the two networking  breaks.• 930 AM‐1015 AM

• 115 PM – 200 PM

• You have a 1‐page handout that lists presentation titles and student names. 

• The number on this list matches the number on the poster board.

• Post‐conference email will have links for downloading PDF files of all presentations.

• Post conference email will also have all graduating students’ resumes

Timeline and Addition of New Programs

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2004Fall

2005 2006 2007 2008 2009 2010     2011      2012 2013 2014

2015Fall

SAS MSOSU DM BUSINESSCERT ANALYTICS

MS in Business Analytics degree was approved in September 2015

GRADCERT inBDM

GRADCERT inMA

DM : Data MiningBDM: Business Data MiningMA: Marketing Analytics

SASOSU MACERT

THREETIEREDSAS OSUCERTIFICATECore levelAdvanced levelExpert level

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Highlights of Last Year (2015)

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Highlights of Last Year (2015) contd.

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Highlights of Last Year (2015) contd.

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Four OSU students presentedTheir papers at SCSUG Student Symposium

Highlights of Last Year (2015) contd.

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Two OSU teams receivedhonorable mention atA2015 shootout

Two OSU studentsreceived best posterAwards at A2015

Thirty OSU studentspresented postersAnalytics 2015 shootout

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Placements in 2015

KPIs of OSU’s Analytics Programs Across Years

Our first graduate level analytics program started as a Data Mining Certificate in partnership with SAS® in 2004. By 2015, 751 certificates awarded.

One MS in Business Analytics degree and two certificates (http://analytics.okstate.edu/mban/ )

Awards and honors by our students:

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Number of Awards for Best Student Paper or Poster at Conferences 23

Number of Awards by Student Teams in Analytics Shootout 12

Number of Scholarship and Ambassador Awards by Students at Conferences 32

Number of Papers and Posters Published by Students at Conferences 194

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Features of the New MS in Business Analytics Program

Inter disciplinary program – courses from Statistics, Industrial Engineering, Information Science, Business and Marketing

Heavy experiential (hands-on) learning with a clear focus on business applications in small classes ( less than 40)

Emphasis on creative component (research requirement)

Emphasis on soft-skills development

External validation via multiple SAS® certificates and certifications

Responsive to current trends/employer needs by creating new short (1-hour) courses taught by industry professionals

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Descriptive  Business Analytics  Predictive Business Analytics Advance database management Statistics I

Additional Courses (6 hours): Adv. Business Analytics Statistics  II

Core Level(Data Mining)

Adv. Level(Predictive Analytics)

Additional Core Courses (6 hours): Adv. Marketing Research Analytics Intro. to Mathematical Programming 

Expert Level (Data Science)

Additional Certifications: SAS Certified Data Scientist SAS Certified Big Data SAS Certified Statistical 

Business AnalystGoogle Analytics Certification

Additional Certifications: SAS Cert. Adv. Programmer  SAS Cert. Predictive Modeler

Certifications: SAS Cert. Base Programmer

(Total 24 credit hours)

(Total 18 credit hours)

(Total 12 credit hours)

At least one paper/poster at a regional conference

Hadoop

Python

At least one paper/ poster at a national conference

Additional Skills:

Research Requirements (practicum):

Research Requirements:(practicum)

Tiered Requirements and Credentialsat the Core (24 Hours) of MS in Business Analytics Curriculum

Additional Electives (12‐15 hours):Applied Analytics (short courses): Web Analytics, GIS in Analytics, Marketing Optimization, Customer Lifetime Value, Consulting in Analytics.Statistics: Time Series, Categorical DataAnalysis, Non Parametric MethodsInformation science: Business Intelligence, Big Data Tools and TechnologiesIndustrial Engineering: Data, Process andObject Models, Supply ChainBusiness : Managerial Accounting, Managerial Finance

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MS in Business Analytics Fall 2015 Students Profile

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Summer Internships for Fall 2015 Entering Class

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How Do we Engage with Companies?

Internships for our Analytics students

Summer or full-semester

Company sponsored analytics projects

Free (class) or Sponsored (graduate student with faculty supervision)

Full-time placements for students

Campus visit and campus recruiting

Presenting to our Analytics students

Monday afternoon: Open mike hours (in-person or webex)

Participate in our corporate advisory board

Participate in SAS Analytics Day on campus

Customized analytics training for companies 19

2016 SAS Analytics Day

Thank You