The MBA with a major in business analytics at Northeastern University’s D’Amore-McKim School of Business prepares students to lead in an AI-enabled business environment. By integrating artificial intelligence and advanced analytics throughout the curriculum, the program builds the strategic and technical fluency needed to translate complex data into high-impact business decisions.
Build a Strong Business and Technology Foundation
The program begins with core courses that establish expertise in business strategy, analytics, and leadership, while integrating advanced concepts in AI and data-driven decision making. Students develop the ability to apply analytical and technological insights to real-world business challenges.
Customize the Experience
With more than half of the coursework dedicated to electives, students tailor their coursework to their career goals. Elective offerings allow exploration of AI-related topics such as machine learning, supply chain analytics, and workforce innovation, preparing graduates to lead at the intersection of technology and business.
Experience-Powered Learning
Experiential learning is central to Northeastern’s approach. Students integrate classroom theory to practice through experiential and travel-based electives such as Global Field Study, Washington, D.C. Residency, and opportunities to help manage our student-run mutual fund.
MBA Requirements
Course List | Code | Title | Hours |
| ACCT 6440 | Accounting Analytics and Financial Accounting | 4 |
| FINA 6444 | Discrete-Time Quantitative Finance | 4 |
| HRMG 6418 | Managing the Organization | 2 |
| INNO 6418 | Innovation-Driven Strategy | 2 |
| MISM 6402 | Foundations of Data Analysis for Business | 2 |
| MKTG 6428 | Data-Driven Marketing | 4 |
| STRT 6418 | Strategic Planning for the Future | 2 |
AI Requirements
Course List | Code | Title | Hours |
| ACCT 6441 | Management Control Systems | 4 |
| HRMG 6430 | Leading a Diverse and Inclusive Organization | 2 |
| HRMG 6440 | Leading in the Tech Revolution | 2 |
| INNO 6415 | Competing in the Age of Smart Machines | 4 |
Electives
Course List | Code | Title | Hours |
| 18 |
| Investment Analytics | |
| Prescriptive Modeling for Business | |
| Data Mining and Machine Learning for Business | |
| Strategic AI for Business | |
| Marketing Analytics | |
| Global Supply Chain Management | |
| Analytics in Supply Chain Management | |
| Managing Operations and the Supply Chain | |
| Workforce Metrics and Analytics | |
Program Credit/GPA Requirements
50 total semester hours required
Minimum 3.000 GPA required
