Curriculum

The MS degree in Business Analytics requires 36 semester credit hours, comprised of the courses listed in the tables below.

Program information is subject to change.

Data Management Track

Course No. Courses Credit Hours
BZAN 6350 Quantitative Foundations for Business Analytics (online) 3 credit hours
BZAN 6351 Basic Programming for Business Analytics (online) 3 credit hours
BZAN 6353 Research Design for Problems in Business Analytics 3 credit hours
BZAN 6354 Database Management Tools for Business Analytics 3 credit hours
BZAN 6355 Advanced Programming for Big Data Analytics 3 credit hours
BZAN 6356 Database Management Tools for Business Analytics 3 credit hours
BZAN 6357 Business Analytics – Frameworks and Methods 3 credit hours
  Elective 1 3 credit hours
  Elective 2 3 credit hours
  Elective 3 3 credit hours
BZAN 7397 Capstone Practicum in Business Analytics I & II 6 credit hours
TOTAL 36 credit hours

Data Analytics Track

Course No. Courses Credit Hours
BZAN 6350 Quantitative Foundations for Business Analytics (online) 3 credit hours
BZAN 6351 Basic Programming for Business Analytics (online) 3 credit hours
BZAN 6353 Research Design for Problems in Business Analytics 3 credit hours
BZAN 6354 Database Management Tools for Business Analytics 3 credit hours
BZAN 6357 Business Analytics - Frameworks and Methods 3 credit hours
  Elective 1 3 credit hours
  Elective 2 3 credit hours
  Elective 3 3 credit hours
  Elective 4 3 credit hours
  Elective 5 3 credit hours
BZAN 7397 Capstone Practicum in Business Analytics I & II 6 credit hours
  TOTAL 36 credit hours

Core Courses & Electives. Core courses will cover the foundation topics that emphasize data management and analytical skills. Electives courses will enable students to develop specialized skills in focused business areas such as Energy, Marketing, Finance, Real Estate, Healthcare, Accounting, Human Resource Management, Information Systems, and Supply Chain Management.

Capstone Practicum. This two-course sequence will give students hands-on experience by making them work on a business-defined problem that focuses on data management and/or analytics. The learning goal is for them to develop data management and analytic strategies, manage analytics team, and lead analytics projects.