Analytics Focus Area

In today’s business environment, companies are awash in a sea of data. 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 focus area provides foundational quantitative and analytical skills paired with application in specific management areas.

Be Career Ready

  • Gain in-depth knowledge to model and solve complex business problems
  • Model the managerial decision-making process through advanced Excel techniques
  • Acquire career-defining statistical skills using industry-leading applications, specifically SAS, R and Python
  • Apply marketing analytics to consumer behavior data for smarter 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
  • Learn the importance of data stewardship through data management methodologies

Analytics is a secondary focus area and should be taken with such functional focus areas as finance, marketing, health care or operations and supply chain management.

Curriculum (15 credits)

Availability varies by semester. 

  • MGF 637 Financial Modeling (3 credits)
  • MGF 696 Portfolio Theory and Strategy (3 credits)
  • MGG 633 Model Managerial Process (3 credits) *
  • MGM 653 Digital Marketing Analytics (3 credits)
  • MGM 675 Marketing Analytics for Data-Driven Decision-Making (3 credits)
  • MGO 619 Business Forecasting (3 credits)
  • MGO 636 Supply Chain Analytics (3 credits)
  • MGQ 610 Sports Analytics (3 credits)
  • MGS 613 Database Management Systems (3 credits) *
  • MGS 616 Predictive Analytics (3 credits) *
  • MGS 653 Social Network Analytics (3 credits)
  • MGS 657 Cloud Data Warehousing and Data Engineering (3 credits)
  • MGS 670 Health Care Analytics (3 credits)

*  A highly recommended course; however, any combination of courses from the list for a given focus area will satisfy the requirement. 

Review course descriptions in the Graduate Catalog.

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