Computational Biology

Our interdisciplinary M.S. in Computational Biology is an 18-month program that prepares students in the quantitative methods powering modern biomedical research. Precision medicine, drug development, and oncology are only a few among the many fields that increasingly rely on quantitative genomics, bioinformatics, systems biology, and computer simulations to understand and predict the dynamics of complex biological systems.

Our Weill Cornell Graduate School (WCGS) and Sloan-Kettering Institute (SKI) faculty are at the forefront of developing computational methods and mathematical models to process, analyze, and interpret the vast amounts of biological data generated by high-throughput techniques. They have designed our M.S. in Computational Biology (MS-CB) curriculum to offer rigorous training in both the theoretical foundations and practical applications of state-of-the-art computational approaches in biology and medicine.

Upon completing the MS-CB, which includes field-specific workshops in professional development, approximately half of our graduates pursue careers in industry and half initiate their careers within academia or choose further education in computational biology at the PhD level.