MS in Biomedical Informatics Academics | NYU Langone Health

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MS in Biomedical Informatics MS in Biomedical Informatics Academics

MS in Biomedical Informatics Academics

At NYU Langone’s Vilcek Institute of Graduate Biomedical Sciences, students in our MS in biomedical informatics program acquire the skills and knowledge needed for careers in biomedical informatics and computational biology. The program is typically 12 months, but students interested in completing it on a part-time basis can submit a request to do so as part of their application.

We provide rigorous hands-on training in designing experiments, generating and analyzing data, and modeling biomedical systems in real-life situations. We also prepare our students to enter the workforce by enhancing their consulting, communication, and teamwork skills.

Our program teaches the core competencies needed for the American Board of Medical Specialties subspecialty certification in clinical informatics and benefits junior faculty and early-career investigators interested in additional training in informatics.

MS in Biomedical Informatics Curriculum

Our MS in biomedical informatics requires a minimum of 34 to 36 credits, including core and elective courses, as well as completion of a written thesis, oral defense, and practical work experience. The practicum is a research experience that serves as both practical work experience and your final MS thesis project. All students must complete a research practicum under the mentorship of a faculty member selected by the student.

Program Timeline

The program begins in the summer and spans the next two semesters, with an additional consulting practicum the following summer. Details of the curriculum are as follows.

Summer I

  • Introduction to Programming
  • Advanced Topics in Biomedical Informatics
  • Programming for Data Analysis


  • Methodological Foundations of Biomedical Informatics
  • Bioinformatics
  • Introduction to Health Informatics
  • Machine Learning
  • Professional Studies in Biomedical Informatics


  • Electives (two courses)
  • Biomedical Informatics Practicum I
  • Professional Studies in Biomedical Informatics

Summer II

  • Biomedical Informatics Practicum II

MS in Biomedical Informatics Electives

Master’s students in the biomedical informatics program may take electives offered by NYU Grossman School of Medicine and NYU’s Graduate School of Arts and Science. Examples of electives available to master’s students include the following courses.

Vilcek Institute of Graduate Biomedical Sciences Elective Courses

  • Advanced Integrative Omics (BMIN-GA 4498, 3 credits)
  • Advanced Regression Modeling (BMSC-GA 4494, 3 credits)
  • Applied Sequencing Informatics (BMIN-GA 3004, 3 credits)
  • Clinical Decision Support (BMIN-GA 3002, 3 credits)
  • Consulting in Biomedical Informatics (BMIN-GA 3005, 3 credits)
  • Deep Learning for Biomedical Data (BMSC-GA 4439, 3 credits, requires prerequisite Machine Learning BMIN-GA 1004)
  • Evaluation Methods for Predictive Risk Models (BMIN-GA 3008, 3 credits)
  • Independent Studies in BMI (BMIN-GA 2005, 0-6 credits)
  • Introduction to Biomedical Entrepreneurship: Foundations of Biomedical Start-Ups (Fall, BMSC-GA 4525, 1 credit)
  • Proteomics Informatics (BMIN-GA 3003, 3 credits)

NYU Cross-Listed Elective Courses

  • Translational Genomics and Computational Biology (Fall, BMIN-GA 7733, 3 credits), Tandon School of Engineering
  • Applied Statistics for Bioinformatics (Fall, BMIN-GA 7673, 3 credits), Tandon School of Engineering
  • Realtime and Big Data Analytics (Fall, BMIN-GA 2436, 3 credits), Computer Science
  • Fundamental Algorithms (Fall, BMIN-GA 1170, 3 credits), Computer Science
  • Population Genetics and Evolutionary Biology for Bioinformatics (Fall, BMIN-GA 7693, 3 credits), Tandon School of Engineering
  • Special Topics in Computer Science (Fall/Spring, BMIN-GA 3033, 3 credits), Computer Science
  • Statistics and Math for Bioinformatics (Spring, BMIN-GA 7723, 3 credits), Tandon School of Engineering
  • Bioinformatics I Algorithms in Bioinformatics (Spring, BMIN-GA 7453, 3 credits), Tandon School of Engineering
  • Mathematical Techniques for CS applications (Spring, BMIN-GA 1180, 3 credits), Computer Science
  • Natural Language Processing (Spring, BMIN-GA 2590, 4 credits), Computer Science
  • Database Systems (Spring/Summer, BMIN-GA 2433, 3 credits), Computer Science