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To learn more about Drexel LeBow’s master’s programs, students are encouraged to attend an information session or request additional information.
Gain the technical and strategic skills to solve complex business challenges with analytics and applied AI.
Drexel’s STEM-designated MS in Applied AI and Business Analytics is designed to help students build technical expertise before applying analytics and AI to real business challenges. Students develop proficiency with analytical and AI tools, then strengthen their ability to use those tools to inform strategy, support decision making and lead across organizations.
Note: The MS in Applied AI and Business Analytics was previously named the MS in Business Analytics.
Note: Beginning in Fall 2027, Drexel University will transition to a semester-based academic calendar as part of its broader Academic Transformation.
- Students will benefit from a more connected academic environment alongside the faculty mentorship, research opportunities and professional preparation central to graduate study. Explore the 2027–28 course catalog preview.
Have questions about the program or Fall 2027 changes? Connect with our Graduate Enrollment Team!
Degree Requirements
Note: A semester-by-semester plan of study will be available soon.
Minimum Required Credits: 33 (includes core requirements, electives and an experiential learning capstone)
| Required Courses | Credits |
|---|---|
| BSAN 6100 - AI Governance and Responsible Analytics | 1.5 |
| BSAN 6150 - Analytics and AI: Development in Practice | 1.5 |
| BSAN 6200 - Programming and Data Wrangling | 3 |
| BSAN 6250 - Visualization and Data Storytelling | 1.5 |
| BSAN 6350 - Unstructured Data Analytics | 1.5 |
| BSAN 6400 - Machine Learning and AI for Business | 3 |
| BSAN 6450 - Predictive Analytics and Forecasting | 3 |
| MIS 6300 - Data Management and Infrastructure | 3 |
| OPR 6000 - Optimization and Prescriptive Analytics | 3 |
| STAT 6100 - Statistical Foundations for Business Analytics | 3 |
| Required Course Credits | 24 |
| Experiential Learning Course | Credits |
|---|---|
| BSAN 7100 - Business Analytics Capstone Project | 3 |
| Experiential Course Credit | 3 |
| Business Analytics Electives | Credits |
|---|---|
| Select one (1) of the following: | 3 |
| BSAN 6500 - Advanced ML and AI for Business | |
| ECON 5550 - Econometrics | |
| ECON 6639 - Applied Industrial Analysis | |
| IS 6620 - Agile Systems Analysis and Design | |
| IS 7730 - Generative AI Agents and Application Design | |
| Select three (3) credits from courses in range 5000-8000 offered by LeBow College of Business. | 3 |
| Elective Course Credits | 6 |
| Total Semester Credits | 33 |
Take the Next Step
Whether you’re ready to apply or still exploring your options, we’re here to help you take the next step. Connect with our graduate admissions team to learn more about the program, the application process and how a Drexel LeBow graduate degree can help you achieve your goals.