The MS in Business Analytics (MSBA) curriculum includes 13 courses (33 credits) in total. Students will take courses that cover all core aspects of business analytics from programming in business analytics, to data management, to data modeling, and to data communications. They will also study data ethics and security. The MSBA program journey is completed with a capstone project that gives students real-world experience in applying what they learn in the classroom. The program also offers professional development throughout the program.
MS in Business Analytics Curriculum Overview
Required Prerequisites
- Calculus (Math021 or Math081 or equivalent)
- Economics (ECO1 or equivalent)
- Statistics (ECO45 or equivalent)
- Programming Experience (students without experience documented on their transcript will need to provide proof of completion for course work comparable to https://www.coursera.org/
learn/learn-to-program.)**
**Alternate courses used to fulfill this prerequisite will require pre-approval from the faculty program director. Contact Recruiting and Admissions with any questions or concerns.
Virtual Kickoff
June 9, 2022 at 9am EST
Summer II (6 credits)
Classes start on July 5, 2022. Hybrid studies available during the Summer II session.
- BIS446 Python Applications for Business
- DSCI310 Introduction to Data Science
- Specialty Masters Orientation: August 18, 2022 (hybrid) and August 20, 2022 (virtual)
Fall (13.5 credits)
Classes start on August 22, 2022. Students are expected to be full-time, on campus. However, students located outside 100 miles from campus or with special approval may attend classes online.
- BIS 458 Data Management for Managers
- BIS448 Predictive Analysis in Business
- BIS411 Storytelling in Business Analytics
- BIS397 Artificial Intelligence for Business
- Elective 1
Spring (13.5 credits)
Classes start on January 23, 2023. Students are expected to be full-time, on campus. However, students located outside 100 miles from campus or with special approval may attend classes online.
- BIS452 Business Analytics and Modelling
- BIS412 Data Ethics and Security in Business
- Elective 2
- Elective 3
- BIS415 Capstone Project
Professional Development
Total Credits (excluding pre-requisites): 33
Concentrations and Electives
Marketing Analytics Concentration (9 credits, choose 3 courses)
- GBUS 466 Marketing Research and Analysis
- GBUS 495 Marketing Analytics
- MKT325 Consumer Insights through Data Analysis
- MKT326 Marketing Analytics in a Digital Space
Supply Chain Analytics Concentration (9 credits)
- GBUS 432 Demand and Supply Chain Planning
- GBUS 453 Transportation and Logistics Management
- SCM345 Analytical Approaches to Supply Chain Management
Financial Engineering Analytics Concentration (9 Credits)
- Choose one: GBUS421 or GBUS422
- Choose one: MATH312 or STAT410
- Choose one: ISE426 or ISE447
Electives: no concentration, choose 3 from the elective list:
- MKT325 Consumer Insights through Data Analysis
- MKT326 Marketing Analytics in a Digital Space
- GBUS495 Marketing Analytics
- GBUS466 Marketing Research and Analysis
- FIN377 Advanced Topics in Investments – Financial Data Science
- MACC430 Data Analytics for Accountants
- MACC419 Auditing
- MGT498 Talent Analytics
- PMGT409 Project Management Fundamentals
- ECO 415 Econometrics I
- ECO 404 Applied Microeconometrics
- GBUS 432 Demand and Supply Chain Planning
- GBUS 453 Transportation and Logistics Management
- SCM345 Analytical Approaches to Supply Chain Management
- DSCI411 Data Management for Big Data
- DSCI431 Introduction to Statistical Models
- DSCI441 Statistical and Machine Learning