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Join the MIT Advanced Study Program Open House on Oct 22
FEATURED EVENT
OPEN HOUSE: Advanced Study Program
Advancing your career takes more than experience. It takes access to the ideas, faculty, and community shaping your field.

Join MIT for a one-hour virtual open house introducing the MIT Advanced Study Program (ASP). Designed for graduate students, working professionals, and MIT employees, ASP lets you take the same classes as MIT degree students, either full-time or part-time, in a non-degree format that fits your life and goals.

This session is for anyone who wants to see how an MIT education could fit into their life and career, understand the application process, and get their questions answered in a live Q&A.
Register Now
Advanced Study Program
Learn about ASP Student Casey Meng
A dream years in the making, studying at MIT became a reality for Denmark native Casey Meng
A biological engineering student, she designed a personalized course of study during her semester on campus—taking graduate-level classes that complemented her studies back home while opening the doors to new academic interests. But her ASP experience extended well beyond the classroom, as she built friendships with peers from around the world, engaged in extracurricular activities, and explored all that Cambridge and Greater Boston have to offer.
Instructor Spotlight
Regina
Regina Barzilay
Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, and the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Regina is a member of the National Academy of Engineering, American Academy of Arts and Sciences, and the National Academy of Medicine. Join her new short course, Transforming Healthcare with AI: Strategy, Implementation, and Clinical Impact, taking place on January 14–15, 2027, on MIT’s campus.