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MS in Business Analytics Curriculum

You'll be able to enter the workplace with a deep knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:

  • Understand business challenges and priorities, and learn to address such challenges using the appropriate data and suitable econometric analytical tools. 
  • Identify the data needed to evaluate potential opportunities to leverage analytically driven decision making to increase the value of the firm. 
  • Understand the challenge of privacy protection of customers, and the balance between privacy protection and personalization of business offerings
  • Learn foundational techniques and tools required for business analytics and data science, covering mathematics, statistics, software.
  • Select and apply appropriate analytical techniques, models, and frameworks to business decisions; and be able to summarize and analyze quantitative information using statistics and data visualization
  • Write clear, well-documented, and effective memoranda and reports; prepare and deliver professional-quality presentations; work effectively on a project in a team

To complete the program, you must complete at least 45 units, spread over 10 required classes as well as a minimum of two electives. †

Business Analytics Courses

Courses in the MS Business Analytics degree are arrayed in four clusters: Business Foundations, Statistics and Optimization, Business Analytics, and Technology. The 10 required courses are marked with *.

Business Foundations   ECON 2400*  Microeconomics for Business Decisions with Econometric Applications
  MKTG 2700*  Principles of Marketing
  FNCE 2700*  Principles of Finance
Statistics and Optimization FNCE 2400* 

Math for Finance & Analytics
Business Analytics 

OMIS 2392* 

Econometrics for Business Analytics with R 
  MKTG 3597*  Marketing Analytics I 
  FNCE 3490*  Data Science and Machine Learning with R
  ECON 3422 / MKTG 3588 The Analytics of Optimal Pricing and New Product Decisions
  FNCE 3806 Analytics in Finance
  ECON 3436   Business and Economic Forecasting (time series)
    Business Analytics Practicum/Captsone 
Technology IDIS 3802*  Data Analytics with Python
  OMIS 3366*  Database Management Systems
  MSIS 2627 Big Data Modeling and Analysis
  MSIS 2629  Dashboards, Scoreboards, and Visualization
  MSBA Prac* Practicum

Note: Courses are subject to change and availability in a given quarter is not guaranteed.