Curriculum

The goal of our curriculum is to give you access to first-class coursework in various aspects of biomedical sciences, complemented by training in AI/machine learning, computer systems, medical imaging, next generation medical technologies, virtual/augmented reality simulation technologies, as well as the use of large biological repositories to advance research and patient care and improve human health.

Year 1 Fall

Course Number Course Title Credits
BSR 1012 or BSR 1800 Biomedical Sciences I or Systems Biomedicine 3
Various Elective course 3
BMI 1007, BSR 1800, or BIO 6300 Python, MATLAB Bootcamp, or Introduction to R 1
BSR 1021 Responsible Conduct of Research 0.5
BSR 1006 Lab Rotation 4

Year 1 Spring

Course Number Course Title Credits
BSR 1013 or BSR 1802 Biomedical Sciences II or Quantitative Graduate Physiology 3
BSR 1026 Applied Biostatistics for Biomedical Research 3
BSR1022 Rigor and Reproducibility 0.5
BSR 1007 Lab Rotation 4

Year 2 Fall

Course Number Course Title Credits
Various Elective course 3
BSR 4401 Journal Club in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5401 Seminars in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5402 Works in Progress: Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 8000 Independent Research: Artificial Intelligence & Emerging Technologies in Medicine 10

Year 2 Spring

Course Number Course Title Credits
BSR 4401 Journal Club in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5401 Seminars in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5402 Works in Progress: Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 8000 Independent Research: Artificial Intelligence & Emerging Technologies in Medicine 10

Year 3 and Beyond

Course Number Course Title Credits
BSR 9000 Doctoral Dissertation Research: Artificial Intelligence & Emerging Technologies in Medicine 8
BSR 4401 Journal Club in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5401 Seminars in Artificial Intelligence & Emerging Technologies in Medicine 1
BSR 5402 Works in Progress: Artificial Intelligence & Emerging Technologies in Medicine 1

Advanced Courses

Among the recommended elective courses are:

Fundamentals of Medical Imaging: An introduction to the physics, instrumentation, mathematics, and signal processing methods used to acquire raw data and reconstruct images in several common imaging modalities.

Introduction to AI & Deep Learning in Medical Imaging: An introduction to the terminology in image analysis and in the AI-based tools, and a discussion of works that detect findings (CADe) and help characterize findings (CADx).

Introduction to Nanomedicine: An overview of nanomedicine, including nanomaterial synthesis and characterization, techniques to monitor their in vivo behavior and efficacy, the design of therapeutic studies, and the translation from small to large animals and humans.

Works-in-Progress, Seminars, and other Program Requirements

Students are required to participate in weekly seminars, work in progress meetings, and journal clubs. These are organized in partnership with discipline-related basic science departments, institutes, and centers at Sinai. Below are some of the most popular seminars among our students.

  • Biomedical Engineering and Imaging Institute seminars
  • Cellular Modeling Seminar
  • Computational Genomics Seminar
  • Mount Sinai Clinical Intelligence Center WIP
  • Genomic Health Initiative WIP
  • Institute for Personalized Medicine Seminar
  • Neurogenomics Seminar

Students will also need to complete 2-3 laboratory rotations, approximately 6-8 weeks each, working an average of 20 hours/week in the laboratory. The aim of these rotations is to give students opportunities to explore their research interests, gain new skills and knowledge, and explore potential host labs for their dissertation.

Students are required to pass a Thesis Proposal exam in their second year. The exam consists of a written proposal in the style of a 6-page NIH F30/31 proposal, an oral presentation, and an oral exam. The exam is administered by the student’s research advisor and 2-3 additional faculty with relevant knowledge on their thesis topic.

Starting their second year, students meet with their thesis committee a minimum of 2 times per year to solicit feedback and advice.

Students are required to give a public presentation of their thesis and must also pass a closed oral defense exam immediately following their thesis presentation. The exam is administrated by the student’s thesis committee, consisting of their advisor and 3-4 additional faculty, including an external examiner.

To complete the program, each student must successfully complete a research project (i.e., publish in peer-reviewed journals and/or file patents) and pass a thesis dissertation exam.