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Overview

Note!

This page is still the Source of Truth! Stuff here may be outdated by the time you’re reading this.

Core Courses​

BINF G4000 is no longer offered.

  1. BINF G4001 Fall
    Introduction to Computational Biomedicine and Health
  2. BINF G4003 Fall
    Methods I: Symbolic AI in Healthcare
  3. BINF G4002 Spring
    Methods II: Machine Learning For Healthcare
  4. BINF G6002 Spring
    Methods III: Research Methods … or if you’re a Bioinformatics student
    BINF G4013 Spring
    Biological Sequence Analysis … or (still need to be a Bioinformatics student)
    COMS W4761 Spring
    Computational Genomics

Other DBMI Electives​

  1. BINF G4050 Spring
    Advanced Machine Learning For Healthcare and Medicine
  2. BINF G4011 Fall
    Acculturation to Medicine & Clinical Informatics
  3. BINF G4070 Fall
    The Future of Personal Health Assistant: Multimodal Health Data Management Agents
  4. BINF G4019 Spring
    Computational Epidemiology

Domains/Training Areas​

4 Courses in total. There’s no mixing and matching tracks.

Data Science Track​

  • 2 Quant Courses, +
  • 2 Domain Courses

Clinical/Public Health Informatics Track​

  • 1 Quant or IT Course, +
  • 1 Qual or Quant or IT Course, +
  • 2 Domain Courses

Bioinformatics Track​

  • 2 Qual or Quant or IT Courses, +
  • 2 Domain Courses

Translational Track​

  • 2 Quant or IT Courses, +
  • 2 Domain Courses

Research Seminar​

You will be taking BINF G4099, a 1-point pass/fail Research Seminar each term. Ask many questions, use your time wisely and learn as much as possible!

Projects in Biomedical Informatics​

This is BINF G6001 which you should take after Research Methods (BINF G6002). It is taken “at least once” for 3 credits. If you do work with a professor before then, ask if you can enroll for automagic credit.

Thesis or Capstone​

You’ll enroll in BINF G6001. It’s a 3-pointer (you take it just once as an MA student). TODO: Finish this later.