Master of Science in Business Analytics
The master of science in business analytics (MSBA) degree program is designed for students with quantitative backgrounds looking to gain a competitive edge before entering the job market as well as those working in the field and looking to further develop their skills.
The curriculum is a blend of foundation courses in descriptive, predictive, and prescriptive analytics; elective courses in analytics applied to a specific functional area or industry; workshops in communication, team, and project management; and hands-on exposure to industry-standard analytics tools/software. The program culminates in a project whereby students work in teams on an actual industry-related problem and present their findings to the client firm.
The MSBA degree program is offered in a two year format to accommodate working professionals. The program can be completed faster if students choose to take courses in the summer or take more than nine (9) credits during the fall and spring semesters.
Specific admission requirements are shown on the Graduate Program Finder.
Visit the program website for additional information.
The following requirements must be fulfilled: 33 credits, including 25.5 credits in required courses and 7.5 credits in elective courses.
|DNSC 6203||Statistics for Analytics I|
|DNSC 6206||Stochastic Foundation: Probability Models|
|DNSC 6210||Decision and Risk Analytics|
|DNSC 6211||Programming for Analytics|
|DNSC 6212||Optimization Methods and Applications|
|DNSC 6213||Statistics for Analytics II|
|DNSC 6216||Business Analytics Skills Workshops|
|DNSC 6217||Business Analytics Practicum|
|DNSC 6219||Time Series Forecasting for Analytics|
|DNSC 6231 Consulting for Analytics|
|DNSC 6279||Data Mining|
|ISTM 6212||Data Management for Analytics|
|7.5 credits in elective courses selected from the following:|
|DNSC 6214||Pricing and Revenue Management|
|DNSC 6215||Social Network Analytics|
|DNSC 6225||Business Process Simulation|
|DNSC 6278||Big Data Analytics|
|DNSC 6290||Special Topics (Machine Learning)|
|DNSC 6290||Special Topics (Supply Chain Analytics)|
|DNSC 6290||Special Topics (Natural Language Processes)|
|DNSC 6401||Sustainable Supply Chains|
|DNSC 6403||Visualization for Analytics|
|DNSC 6404||Sports Analytics|