Computational Biology

Our interdisciplinary M.S. in Computational Biology program is designed to provide students with expertise in the leading quantitative methods underlying modern biomedical science. The program is an in-depth response to the ever-growing need for computational methods in processing, analyzing, and interpreting the vast amounts of biological data generated by high-throughput technologies. Computer simulations and machine learning approaches play important and complementary roles in understanding and predicting the behavior of complex biological systems. Precision medicine, drug development, and cancer research are just a few of the many fields that increasingly rely on quantitative genomics, bioinformatics, systems biology, data science, and machine learning.

The M.S. in Computational Biology (MS-CB) presents a unique, rigorous training program, equipping students with theoretical understanding and practical mastery of state-of-the-art computational approaches and their applications in biology and medicine. Our faculty from Weill Cornell Medicine and Sloan-Kettering Institute are world-class leaders in computational biology research and its applications.

Upon graduation, with extensive training and field-specific, curricular workshops in career development, students will be prepared to launch successful professional careers at the forefront of computational biology, bioinformatics, data science, machine learning, and quantitative modeling in the pharmaceutical, biotechnology, and healthcare industries. Likewise, for those interested in pursuing further education in computational biology at the PhD level, this degree will attest to their preparation and enhance their competitiveness.