Your Year One Fall courses include:

• Biomedical Science (includes Journal Club)
• Biostatistics for Biomedical Research (choice of R or SAS lab modules, but R is recommended) or Introduction to Biostatistics
• Programming: Python
• Responsible Conduct of Research
• Works-in-Progress Seminar in AI and Emerging Technologies in Medicine (Year One students attend but do not present)
• Research: Lab Rotation

Year One Spring courses include:

• Biomedical Science (includes Journal Club)
• Rigor and Reproducibility
• Works-in-Progress Seminar in AI and Emerging Technologies in Medicine (Year One students attend but do not present)
• Lab Rotation (if you have not yet declared a lab); or Independent Research (if you have already declared a lab before the start of the Spring semester)

You must declare a lab and multidisciplinary training area by April 30 of Year One.

Your Year Two Fall and Spring courses include:

• Advanced Electives (must total six credits in Year Two)
• Seminar: Seminars in AI and Emerging Technologies in Medicine
• Journal Club: Journal Club in AI and Emerging Technologies in Medicine
• Works-in-Progress Seminar in AI and Emerging Technologies in Medicine
• Research: Independent Research

You must select an advisory committee by December 17 of Year Two and complete the qualifying exam/thesis proposal by June 30 of Year Two.

Your Year Three courses include:

• Additional advanced electives, if appropriate
• Seminar: Seminars in AI and Emerging Technologies in Medicine
• Works-in-Progress Seminar in AI and Emerging Technologies in Medicine
• Research: Dissertation Research

We offer electives in:

• Machine Learning for Biomedical Data Science (strongly recommended)
• Introduction to AI and Deep Learning in Medical Imaging (recommended, particularly for students undertaking dissertation research in AI/ML)
• Introduction to Biophysics and Biophysical Instrumentation
• Introduction to Nanomedicine

Any other electives offered by AI and Emerging Technologies in Medicine, through any relationship with an outside institution such as the Hasso Plattner Institute or Rensselaer Polytechnic Institute, or even through other institutions, can be appropriate if agreed upon by the student, dissertation advisor, and their program’s director(s). Students are encouraged to take advantage of this flexibility and choose advanced electives that are most relevant to their dissertation research and training goals. 

Advanced electives should be taken in Year Two. It is strongly discouraged to undertake advanced electives before completing the core curriculum and identifying a dissertation advisor and lab. If students enter the program with substantial Python programming experience, another one-credit programming course may be substituted for the Programming: Python course, such as Computer Systems, Research: Lab Rotation, or Introduction to R Programming.

MD-PhD students will have completed their MD-PhD-specific core curriculum in MD Year One, so the curriculum for MD-PhD students will be identical to the above, with the following exceptions:

• ‘Core’ will be dropped
• Journal Club and Seminar will be added in PhD Year One
• Register for Independent Research, not Research: Lab Rotation, if you have already declared a lab
• Advanced electives may be taken in Year One if a dissertation advisor and lab has been identified
• The qualifying exam/thesis proposal must be completed by June 30 of PhD Year One