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 School of Medicine’s Sackler Institute of Graduate Biomedical Sciences, students in our 12-month MS in biomedical informatics program acquire the skills and knowledge needed for careers in biomedical informatics and computational biology.

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 credits, including core and elective courses, as well as practical work experience.

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 12-month curriculum are as follows.

Summer I

  • Introduction to Programming
  • Introduction to Biomedicine
  • Programming for Data Analysis


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


  • Electives (two courses)
  • Biomedical Informatics Practicum I
  • Seminar in Biomedical Informatics
  • 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 School of Medicine and NYU’s Graduate School of Arts and Science. Examples of electives available to master’s students include the following.

NYU School of Medicine Biomedical Informatics Electives

  • Proteomic Informatics
  • Topics in Bioinformatics
  • Clinical Decision Support
  • Next-Generation Sequencing Informatics
  • Integrative Omics
  • Consulting in Biomedical Informatics
  • Introduction to Biostatistics and Exploratory Data Analysis
  • Deep Learning for Biomedical Data
  • Evaluation Methods for Predictive Risk Models
  • Independent Studies in BMI 
  • Advanced Regression Modeling

NYU Downtown Electives

  • Foundations of Machine Learning 
  • Fundamental Algorithms  
  • Database Systems  
  • Scientific Computing  
  • Genomics and Global Public Health  
  • Applied Genomics: Introduction to Bioinformatics and Network Modeling 
  • Systems Biology 
  • Statistics and Machine Learning for Genomics 
  • Biological Databases and Data Mining  
  • Mathematical Tools for Neuroscience