The Master of Science in Biomedical Data Science Program at the Icahn School of Medicine at Mount Sinai is a 30-credit program, designed to be completed in 18-24 months, that hones your technical skills through rigorous training and independent research. By applying informatics to biomedical problems, you can uncover the missing pieces to today’s most pressing health challenges. Our curriculum is designed to energize your computational, mathematical, and statistical thinking to maximize the impact on human health and well-being.
Our program integrates training and education in various aspects of biomedical sciences with machine learning, computer systems, and big data analysis.
Students can choose from the following two core options, depending on the focus for your capstone project:
Biomedical Sciences (six credits)
Principles of Neural Science, Behavior, and Brain Pathophysiology (six credits)
Students must take the following three required courses, totaling nine credits:
Computer Systems (three credits)
Introduction to Algorithms (three credits)
Machine Learning for Biomedical Data Science (three credits)
Students must take the following two additional mandatory training requisites:
Responsible Conduct of Research (Eight hours of training, half credit)
Rigor and Reproducibility (Eight hours of training, half credit)
Students must take two-and-a-half to five elective credits in order to do complementary coursework in areas of greatest interest to them. Elective options include:
Introduction to Biostatistics | three credits
Biostatistics for Biomedical Research | three credits
Analysis of Categorical Data | three credits
Theory of Linear and Generalized Linear Models | three credits
Applied Analysis of Health Care Databases | three credits
Biomedical Software Engineering | two credits
Applied Linear Models | three credits
Intro to Artificial Intelligence/Deep Learning in Biomedical Research | one credit
Introduction to R Programming | two credits
Programming in Systems Biomedicine | two credits
Analysis of Longitudinal Data | three credits
Applied Linear Models II (Prereq ALM 1) | three credits
For your capstone research project (BDS 9001), you may choose from one of the following biomedical data science research areas:
