Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world.
Earn your MBA and SM in engineering with this transformative two-year program.
A rigorous, hands-on program that prepares adaptive problem solvers for premier finance careers.
A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems.
Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.
A doctoral program that produces outstanding scholars who are leading in their fields of research.
Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.
Apply now and work for two to five years. We'll save you a seat in our MBA class when you're ready to come back to campus for your degree.
The 20-month program teaches the science of management to mid-career leaders who want to move from success to significance.
A full-time MBA program for mid-career leaders eager to dedicate one year of discovery for a lifetime of impact.
A joint program for mid-career professionals that integrates engineering and systems thinking. Earn your master’s degree in engineering and management.
Non-degree programs for senior executives and high-potential managers.
A non-degree, customizable program for mid-career professionals.
Faculty
Mimosa Nguyen-Ha
John Horton is an Associate Professor of Information Technologies at the MIT Sloan School of Management.
Horton's research focuses on the intersection of labor economics, market design, and information systems. He is particularly interested in improving the efficiency and equity of matching markets.
After completing his PhD and prior to joining NYU Stern School of Business in 2013, he served for two years as the staff economist for oDesk, an online labor market.
Horton received a BS in mathematics from the United States Military Academy at West Point and a PhD in public policy from Harvard University.
John Horton, the Richard S. Leghorn (1939) Career Development Associate Professor and Associate Professor of Information Technology, has won two awards.
First, Horton is a winner of the 2021 INFORMS (Institute for Operations Research and the Management Sciences) ISS Sandra A. Slaughter Early Career Award, which recognizes “early career individuals who are on a path towards making outstanding intellectual contributions to the information systems discipline.”
Second, Horton won the AI/ML Rising Star Award at the 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics, where he was also a keynote speaker.
Wiles, Emma, Zanele Munyikwa, and John J. Horton. Management Science. Forthcoming. NBER Preprint. Supplementary Materials.
Caoui, El Hadi, Chiara Farronato, John J. Horton, and Robert Schultz. Management Science. Forthcoming. NBER Preprint.
Fradkin, Andrey, Monica Bhole, and John J. Horton. Management Science. Forthcoming. Postprint.
Manning, Benjamin S., Kehang Zhu, and John J. Horton, Working Paper. April 2024. arXiv Preprint.
Brynjolfsson, Erik, John J. Horton, Christos Makridis, Alexandre Mas,Adam Ozimek, Daniel Rock, and Hong-Yi TuYe, MIT Sloan Working Paper 6937-23. Cambridge, MA: MIT Sloan School of Management, May 2023. NBER Working Paper 31193.
Horton, John J., Working Paper. January 2023. arXiv Preprint.
MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Associate professor John Horton joined this panel of the Bipartisan Policy Center and Anthropic to explore what the public and policy makers should consider as AI becomes more ubiquitous in society.
"This paper is showing how you can use real humans to generate personas which can then be used programmatically/in-simulation."
What is top of mind for the digital economy thought leaders? That was the question posed for Thinker-Fest 2023.
Emma van Inwegen (SM '22) says: "Better writing could simply make it easier for employers to understand the skills a worker has."
An exciting collaboration between MIT's Sloan School of Management and Schwarzman College of Computing, this immersive, two-week program on campus dives deep into both the technical and business aspects of artificial intelligence, providing a comprehensive understanding of AI's impact across industries. The program will bridge the gap between AI technology and business leadership through practical, hands-on learning experiences, ensuring participants can apply AI strategies effectively in their organizations.
Learn how to lead AI initiatives strategically and effectively with MIT Sloan Executive Education's 5-day in-person course. Gain a comprehensive understanding of AI technologies and their impact on the future of work.
