The Master of Science in Business Analytics (MSBA) program provides students with a rigorous, applied, and technically grounded understanding of modern data analytics. Students develop expertise in statistical modeling, data mining, and commonly used analytics software, while also learning to communicate analytical findings clearly and translate data into business value. Building on Bentley’s more than 20-year history as a leader in the advanced study of business analytics, the MSBA program prepares students to use data-driven methods to solve complex organizational problems across a wide range of business settings.
Curriculum
Pre-Program Foundation Courses
| Course | Title | Credits |
|---|---|---|
| Students with the appropriate background may be waived from the following course: | ||
| GR 521 | Managerial Statistics | 3 |
| Total Credits | Up to 3 | |
Program Requirements
| Course | Title | Credits |
|---|---|---|
| Required Analytics Courses: | ||
| CS 605 | Data Management and SQL for Analytics | 3 |
| CS 655 | Managing with Analytics: From Data to AI | 3 |
| MA 610 | Optimization and Simulation for Business Decisions | 3 |
| MA 611 | Time Series Analysis | 3 |
| MA 710 | Data Mining | 3 |
| ST 625 | Quantitative Analysis for Business | 3 |
| ST 635 | Intermediate Statistical Modeling for Business | 3 |
| Electives: Select any three courses from the following electives. Other 600-level or higher electives require permission of the MSBA program director. | 9 | |
| Data-Driven Development with Python | ||
| Cloud-Based Enterprise Applications | ||
| Data Analytics Architectures with Big Data | ||
| Generative AI for Business – Solutions and Strategies | ||
| Information Security, Controls and Ethics | ||
| Artificial Intelligence Techniques and Applications | ||
| AI Governance and Leadership | ||
| Business Intelligence Methods and Technologies | ||
| The Macroeconomics of Financial Markets | ||
| Investments | ||
| Fixed Income Valuation and Strategies | ||
| Equity Valuation | ||
| Derivatives | ||
| Business Process Management | ||
| Visualizing Information | ||
| Quantitative Data Analysis for Health | ||
| Data Science | ||
| Design of Experiments for Business | ||
| Introduction to Machine Learning | ||
| Special Topics in Mathematical Science | ||
| Business Analytics Project Course | ||
| Experimental Course in MA | ||
| Leading Effective Work Teams | ||
| Negotiating | ||
| Leading Change | ||
| Project Management | ||
| Marketing Research and Analysis | ||
| E-Marketing | ||
| Customer Data Analysis and Relationship Marketing | ||
| Enhancing Creativity | ||
| Internship in Business Data Analysis | ||
| Special Topics in Business Analytics | ||
| Total Credits | 30 | |
Please Note: All coursework must be completed within five years.