MS in Business Analytics (MS)


Foundation Courses 1
ACC 505Financial Accounting3
ECO 503Statistics for Managers with Excel3
ECO 511Macroeconomics1.5
MGT 512Principles of Management1.5
Required Courses
BAN 707Business Systems and Analytics3
BAN 731Business Analytics, Data Visualization & Modeling3
BAN 752Strategic Performance Analytics3
BAN 609Business Analytics3
MKT 604Marketing Management3
CSC 511
Introduction to Programming
and Introduction to Programming Lab
CSC 512
Data Structures and Algorithms
and Data Structures and Algorithms Lab
DAT 511Data Stewardship: Preparation, Exploration and Handling of Big Data3
BUS 601My Personal Brand.5
BUS 602My Personal Leadership Plan.5
BUS 603My Path Forward0
Students must complete an internship or applied project
BAN 698Business Analytics Applied Project / Internship3
Elective Courses
Select one of the following courses:3
Marketing Data Analytics
Digital Marketing Strategies
Service Marketing
Global Logistics and Transportation
Global Supply Chain Management
Financial Modeling
Investment Management
Total Credits40

Learning Goals & Objectives

Upon the completion of the MS in Business Analytics, graduates will develop the following skills and knowledge:

Quantitative and Analytical Skills: 

  • the ability to analyze, interpret, and communicate information for effective decision support (in both written and oral form);
  • the ability to identify problems, diagnose causes, and develop positive solutions

Technical Skills:

  • the ability to use at least one general programming language
  • the ability to work with a range of data structures
  • familiarity with databases and the programming techniques needed to work with Big Data

Ethical Data Stewardship

  • Develop a strong awareness of the ethical and moral issues that arise in work with large data sets and the steps needed to be taken to protect rights and privacy of individuals

Decision Support

  • Develop a solid understanding of business processes and how they contribute to organizational goals and objectives
  • Understand and apply enterprise risk management concepts
  • Identify critical data and analyze and communicate information in an appropriate format to the decision maker