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MBA

Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world.

Leaders for Global Operations

Earn your MBA and SM in engineering with this transformative two-year program.

Master of Finance

A rigorous, hands-on program that prepares adaptive problem solvers for premier finance careers.

Master of Business Analytics

A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems.

Master of Science in Management Studies

Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.

PhD

A doctoral program that produces outstanding scholars who are leading in their fields of research.

Undergraduate

Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.

MBA Early (Deferred admissions option)

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.

Executive Programs

MIT Executive MBA

The 20-month program teaches the science of management to mid-career leaders who want to move from success to significance.

MIT Sloan Fellows MBA

A full-time MBA program for mid-career leaders eager to dedicate one year of discovery for a lifetime of impact.

System Design & Management

A joint program for mid-career professionals that integrates engineering and systems thinking. Earn your master’s degree in engineering and management.

Executive Education

Non-degree programs for senior executives and high-potential managers.

Visiting Fellows

A non-degree, customizable program for mid-career professionals.

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Ideas Made to Matter Artificial Intelligence

Machine learning, explained

Sara Brown

Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.

Apr 21, 2021

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Machine learning, explained