What Makes the MIT Sloan Master of Business Analytics Program Unique?
The 12-month Master of Business Analytics (MBAn) program at the MIT Sloan School of Management equips aspiring data science professionals with the skills to solve complex business challenges using modern data science. Established in collaboration with MIT’s Operations Research Center, the program is designed for engineers, mathematicians, physicists, and programmers. It connects technical expertise with a business perspective, preparing students to translate data into decisions that create meaningful organizational impact.
How Is the MIT Sloan MBAn Curriculum Structured?
Through rigorous coursework and hands-on experience, students develop foundational knowledge and advanced analytics techniques that support innovation and decision-making in modern organizations. During the program’s unique capstone project, students collaborate with industry leaders to solve real-world data challenges. These experiences prepare graduates to become leaders in data science and business analytics.
What Does STEM Designation Mean for MIT Sloan MBAn Students?
The MIT Sloan Master of Business Analytics (MBAn) is a STEM-designated program. Eligible MIT-sponsored F-1 graduates may apply to extend their standard 12-month Post-Completion Optional Practical Training (OPT) by up to 24 additional months if they meet the following requirements:
- The F-1 student is actively participating in a period of 12-Month Post-Completion OPT after graduation.
- The F-1 student and their employer meet the eligibility requirements to apply for the 24-month STEM OPT Extension.
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.
Learn from Faculty Who Make Ideas Matter
MIT Sloan faculty bring deep expertise and consequential ideas into the classroom, while remaining approachable and collaborative. They value the perspectives students bring, encourage questions, and work alongside students as they explore meaningful problems.
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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