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 (Math 021 or Math 081 or equivalent)
- Economics (ECO 1 or equivalent)
- Statistics (ECO 45 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
OISS Orientation
July 1, 2022 (virtual)
Summer II (6 credits)
Classes start on July 5, 2022. Hybrid studies available during the Summer II session.
- BUAN 446 Python Applications for Business
- DSCI 310 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.
- BIS 458 Data Management for Managers
- BUAN 448 Predictive Analysis in Business
- BIS 411 Storytelling in Business Analytics
- BUAN 457 Artificial Intelligence for Business
- Elective 1
Spring (13.5 credits)
Classes start on January 23, 2023.
- BUAN 452 Business Analytics and Modelling
- BIS 412 Data Ethics and Security in Business
- Elective 2
- Elective 3
- BIS 415 Capstone Project
Professional Development
Total Credits (excluding pre-requisites): 33
Concentrations and Electives
Course availability is subject to the student meeting any prerequisites or getting override approvals from the course's department. Other elective courses not listed below are subject to Program Director approval.
Marketing Analytics Concentration (9 credits, choose 3 courses)
Prerequisites are waived for the courses listed in this concentration.
- GBUS 466 Marketing Research and Analysis
- GBUS 495 Marketing Analytics
- MKT 312 Marketing Research*
- MKT 325 Consumer Insights through Data Analysis
- MKT 326 Marketing Analytics in a Digital Space
Supply Chain Analytics Concentration (9 credits)
Prerequisites are waived for the courses listed in this concentration.
- GBUS 432 Demand and Supply Chain Planning
- GBUS 453 Transportation and Logistics Management
- SCM 345 Analytical Approaches to Supply Chain Management
Data Science Concentration (9 credits, choose 3 courses)
- DSCI 321 Algorithms and Software Foundations
- DSCI 411 Data Management for Big Data
- DSCI 431 Introduction to Statistical Modeling
- DSCI 441 Statistical and Machine Learning
Financial Engineering Analytics Concentration (9 Credits)
Electives: no concentration, choose 3 from the elective list:
- MKT 312 Marketing Research*
- MKT 325 Consumer Insights through Data Analysis
- MKT 326 Marketing Analytics in a Digital Space
- GBUS 495 Marketing Analytics
- GBUS 466 Marketing Research and Analysis
- FIN 377 Advanced Topics in Investments – Financial Data Science
- MACC 430 Data Analytics for Accountants
- MACC 419 Auditing
- GBUS 496 Talent Analytics
- PMGT 409 Project Management Fundamentals
- ECO 415 Econometrics I
- ECO 404 Applied Microeconometrics
- GBUS 432 Demand and Supply Chain Planning
- GBUS 453 Transportation and Logistics Management
- SCM 345 Analytical Approaches to Supply Chain Management
- DSCI 321 Algorithms and Software Foundations
- DSCI 411 Data Management for Big Data
- DSCI 431 Introduction to Statistical Models
- DSCI 441 Statistical and Machine Learning
- GBUS 421 Advanced Investments
- GBUS 422 Derivatives and Risk Management
- MATH 312 Statistical Computing and Applications
- STAT 410 Random Processes and Applications
- ISE 426 Optimization Models and Applications
- ISE 447 Financial Optimization
*Students taking MKT 312 will not receive credit for GBUS 466