Analytics Concentration

In today’s business environment, companies are awash in a sea of data. But how do you make sense of it?

Analyzing data using modern technology, sophisticated statistical tools and good old-fashioned storytelling helps firms make smart business decisions. The MBA analytics concentration provides foundational quantitative and analytical skills paired with application in specific management areas.

  • Gain in-depth exposure to essential knowledge that will allow you to model and solve complex business problems
  • Learn the importance of data stewardship through data management methodologies
  • Model the managerial decision-making process through advanced Excel techniques
  • Acquire career-defining statistical skills using industry-leading applications, specifically in SAS and R
  • Apply your knowledge in several functional areas like marketing, finance, health care, supply chain and logistics, or information systems management
  • Understand how marketing analytics and consumer behavior data can be used in data-driven decision-making
  • Develop the skills needed to perform risk analysis and strategic investment management
  • Understand how analytics solve the problems of a complicated health care delivery system
  • Become a technology data analytics leader by learning database management and decision support systems


First Semester

MBA Core – 15 credits

Second Semester

MBA Core – 10 credits
MGG 633 Modeling Managerial Processes
MBA Elective


For this concentration, you need to have foundational programming knowledge or to have taken non-credit bridge courses, either prior to beginning your MBA or during the summer of your first year, to give you a broad introduction to foundational analytics methods (e.g., SAS, R). You may select any two courses from the following list, or an alternative course approved by the chair of the MBA/MS program committee:

  • Basics of SAS programming (equivalent to the requirement of Base SAS Certificate)
  • Basics of R programming
  • Other programming skills (e.g., Python)

Third Semester

MGM 675 Marketing Analytics for Data-Driven Decision-Making
MGF 690 Financial Analysis with R
MBA Electives

Fourth Semester

MGO 642 Integration of Business Foundations Capstone
MGO 644 Business Practice Capstone
MBA Electives
Data Analytics Electives – Choose two


MBA Analytics concentration students must take two of the following data analytics electives:

  • MGF 637 Financial Modeling (R and Excel)
  • MGF 696 Portfolio Theory and Strategy
  • MGM 675 Marketing Analytics                       
  • MGS 613 Database Management Systems
  • MGS 616 Predictive Analytics
  • STA 503 Linear Regression (SAS)
  • Other graduate course(s) may be approved by the chair of the MBA/MS Committee as an elective.

Note: Not all electives above are offered every semester