The Analytics Curriculum
The MIT Sloan Master of Business Analytics (MBAn) curriculum equips you with the skills and expertise needed to excel in today’s rapidly evolving business landscape. Through a blend of rigorous academic coursework and hands-on experience, you will develop both the foundational knowledge and advanced analytics techniques necessary to drive innovation and decision-making in modern organizations. The program emphasizes practical application, including a unique capstone project, where students collaborate with industry leaders to solve real-world data challenges, preparing you to become a leader in data science and business analytics.
STEM Classification
The Master of Business Analytics Program qualifies as a STEM-designated program, allowing international students to extend their training in the U.S. by 24 months after graduating.
I discovered my interest in AI & ML later in undergrad. I had built a strong foundation in math and econometrics but felt like I had only scratched the surface of how to apply those skills. I chose the MBAn program for its balance of technical depth and real-world application.
Expert and Approachable Faculty
You’ll notice an informality at MIT born of mutual respect. Everyone here is exceptional, and everyone assumes you are, too. If you have questions, they'll help you find the answers. And those expert professors, like most people here, are approachable and down to earth.
Faculty Spotlight
Dimitris Bertsimas
Associate Dean, Online Education & Artificial Intelligence
Dimitris Bertsimas is the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean, Online Education & Artificial Intelligence. He was named Vice Provost for Open Learning in September…
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Swati Gupta
Class of 1947 Career Development Associate Professor
Swati Gupta is the Class of 1947 Career Development Associate Professor and an Associate Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Her work focuses on deep theoretical questions in optimization…
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Alexandre Jacquillat
Maurice F. Strong Career Development Associate Professor
Alexandre Jacquillat is the Maurice F. Strong Career Development Associate Professor and an Associate Professor of Operations Research and Statistics at the MIT Sloan School of Management. His research focuses on data-driven decision-making,…
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Chara Podimata
Class of 1942 Career Development Assistant Professor
Chara Podimata is the Class of 1942 Career Development Assistant Professor and an Assistant Professor of Operations Research/Statistics in MIT Sloan. She is interested in social aspects of computing and more specifically, the effects of humans…
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Rama Ramakrishnan
Professor of the Practice, AI/ML
Rama Ramakrishnan is a Professor of the Practice in AI/ML. His teaching, research, and advisory interests center on the practical business application of Predictive and Generative AI techniques and in the creation of intelligent products and…
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Vivek F. Farias
Patrick J. McGovern (1959) Professor
Vivek is interested in the development of new methodologies and applications for large scale dynamic optimization. He received his PhD in electrical engineering from Stanford University in 2007 and is the Patrick J. McGovern (1959) Professor at MIT…
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Ideas Made to Matter
Generative AI enables companies to execute with speed
MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.
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