Master of Science in Business Analytics
The STEM approved M.S. in Business Analytics program is designed to teach students analytical skills necessary to effectively use data to solve business problems. The program teaches students foundational statistical and quantitative analysis skills to manipulate and analyze data sets, understand key programming languages, apply business forecasting models and develop spreadsheet models to make better business decisions. The capstone course provides students an opportunity to analyze big data sets from real companies to address current business issues. In addition to skills-based courses, three discipline-specific courses in finance, marketing and economics increase student exposure to the range of decisions that analytics can address.
Degree Requirements
Prerequisite courses: (8 credit hours)
Note: To waive prerequisite courses, students must earn a B grade or better in Foundations of Finance, Database Fundamentals and Business Statistics courses in the past seven years from an AACSB accredited school.
Required MS-BAN courses: (32 credit hours)
| ECO 611 | Econometrics | 4 |
| FIN 617 | Analytics in Finance | 4 |
| ITM 615 | Data Mining for Business | 4 |
| ITM 617 | Machine Learning for Business Analytics | 4 |
| ITM 680 | Big Data for Analytics | 4 |
| MKT 617 | Marketing Analytics | 4 |
| QMB 612 | Decision Modeling and Analysis | 4 |
| QMB 660 | Advanced Forecasting and Predictive Analytics | 4 |
| Total Credit Hours: | 40 |
Total Credit Hours: 32-40
Total Credit Hours: 32-40