AIM Coursework

Coursework

The AIM curriculum combines clinical exposure with core courses in machine learning and artificial intelligence (AI) methods applied to medicine and medical data. Students are required to complete the following core courses:

• AI in Medicine I (BMIF 202)
• AI in Medicine II (BMIF 203)
• AIM Clinical Experience I (BMIF 301)
• AIM Clinical Experience II (BMIF 302)
• Foundation of Clinical Data and its Applications (BMIF 204)
• Responsible Conduct of Science (MedSci 300QC)

The cornerstone of the required curriculum is the flagship AI in Medicine I & II sequence, taught by leading AI researchers at DBMI, including Isaac “Zak” Kohane, Chirag Patel, Arjun Manrai, and Marinka Zitnik. This sequence will give students the knowledge to create AI that cuts across the latest modalities in fields such as computer vision, generative language models, and graph neural networks, incorporating diverse data types to improve clinical decision-making and biomedical research.

In addition to the required curriculum, students will select 3 elective courses in consultation with their AIM faculty advisor. Elective courses may be selected within the Department of Biomedical Informatics, elsewhere at HMS, or other Harvard schools such as the Harvard T.H. Chan School of Public Health (HSPH), the School of Engineering & Applied Sciences (SEAS) or the business school (HBS), in addition to MIT.