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 and mathematical models in processing, analyzing, and interpreting the vast amounts of biological data generated by high-throughput techniques. Computer simulations are required to understand and predict the dynamics of complex biological systems. Precision medicine, drug development, and cancer research are only a few among the many thriving fields increasingly relying on quantitative genomics, bioinformatics, and systems biology.
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 applications of computational approaches in biology and medicine. Our faculty from Weill Cornell Medicine, Sloan-Kettering Institute, and Cornell Tech are world-class leaders in computational biology research and 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 data analytics, bioinformatics, and computer modeling, for example in the pharmaceutical or biotech 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.
Our curriculum is highly interdisciplinary and includes training in cutting-edge bioinformatics, statistics, machine learning, computation and simulation, quantitative biology, and genomics. The training emphasizes hands-on computer labs and practical skills to prepare students for careers beyond the classroom.
Program features include:
Please see here for a complete list of faculty
The tuition for the most recently enrolled class is around $43,000 per academic year. Please see the student services website for program-specific details on tuition and fees:
Please note that this tuition cost and fees are set for the current academic year and are subject to change.
A small number of partial scholarships are available. Applicants applying by the priority deadline are automatically considered for these merit-based scholarships.
Applicants must hold a bachelor’s degree in science or engineering. Applicants must have completed undergraduate level coursework in calculus, linear algebra, probability theory or statistics, and computer programming.
We seek applications from students with diverse undergraduate degrees and encourage applications from students who are from underrepresented groups, have disabilities, or are from disadvantaged backgrounds. (We recognize that some applicants may belong to more than one of these categories.)
All application forms and supporting documents can be submitted online. You will be asked to submit or upload:
We are still accepting applications for the Fall 2021 class. We are operating with a rolling admissions process at this point and encourage you to submit your application as early as possible to avoid potential seat capacity or timing restrictions.
Final deadline for applications: May 1, 2021