SAS and OSU Analytics Programs

Transcription

1 SAS and OSU Analytics Programs Goutam Chakraborty Director, MS in Business Analytics Director, Graduate certificate in Business Data Mining Director, Graduate Certificate in marketing Analytics 2016 SAS Analytics Day 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 1

2 Thanks to Our Sponsors and Corporate Advisory Board of Companies Conference Attendees (Companies) 2

3 Program Speakers David Ahuja Walmart Ray Boyle Walmart Fritz Lehman SAS Eric Nyabiosi Comcast Panel Members Ramcharan Kakarla Comcast Zabiulla Mohammed Walmart Balamurugan Mohan H&R Block Vandana Reddy AAA Sumit Sukhwani West Corporation 3

4 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 will have links for downloading PDF files of all presentations. Post conference will also have all graduating students resumes Timeline and Addition of New Programs 2004 Fall SAS OSU DM CERT GRAD CERT in BDM GRAD CERT in MA 2015 Fall SAS MS THREE OSU MA BUSINESS TIERED CERT ANALYTICS SAS OSU CERTIFICATE Core level Advanced level Expert level DM : Data Mining BDM: Business Data Mining MA: Marketing Analytics MS in Business Analytics degree was approved in September

5 Highlights of Last Year (2015) 9 Highlights of Last Year (2015) contd. 10 5

6 Highlights of Last Year (2015) contd. Four OSU students presented Their papers at SCSUG Student Symposium 11 Highlights of Last Year (2015) contd. Two OSU students received best poster Awards at A2015 Two OSU teams received honorable mention at A2015 shootout Thirty OSU students presented posters Analytics 2015 shootout 12 6

7 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 By 2015, 751 certificates awarded. One MS in Business Analytics degree and two certificates ( ) Awards and honors by our students: 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

8 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 15 Tiered Requirements and Credentials at the Core (24 Hours) of MS in Business Analytics Curriculum Expert Level (Data Science) (Total 24 credit hours) Additional Core Courses (6 hours): Adv. Marketing Research Analytics Intro. to Mathematical Programming 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 Data Analysis, Non Parametric Methods Information science: Business Intelligence, Big Data Tools and Technologies Industrial Engineering: Data, Process and Object Models, Supply Chain Business : Managerial Accounting, Managerial Finance Hadoop Python Research Requirements (practicum): At least one paper/ poster at a national conference Additional Skills: At least one paper/poster at a regional conference Adv. Level(Predictive Analytics) (Total 18 credit hours) Additional Courses (6 hours): Adv. Business Analytics Statistics II Research Requirements: (practicum) Core Level(Data Mining) (Total 12 credit hours) Descriptive Business Analytics Predictive Business Analytics Advance database management Statistics I Certifications: SAS Cert. Base Programmer Additional Certifications: SAS Certified Data Scientist SAS Certified Big Data SAS Certified Statistical Business Analyst Google Analytics Certification Additional Certifications: SAS Cert. Adv. Programmer SAS Cert. Predictive Modeler 8

9 MS in Business Analytics Fall 2015 Students Profile 17 Summer Internships for Fall 2015 Entering Class 18 9

10 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 Thank You 2016 SAS Analytics Day 10