Please note that the launch of this program is expected for Fall 2018 (we are awaiting official approval from the NY State Educational Department). Applications for the Fall 2018 class will be accepted starting September 1, 2017.
Our M.S. in Computational Biology and Medicine is designed to give students expertise in the quantitative methods underlying modern biomedical science. Computational methods and mathematical models are necessary to process, analyze, and interpret 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, with therapies for cancer and other diseases, and drug development rely increasingly on quantitative genomics, bioinformatics, and systems biology.
The M.S. in Computational Biology and Medicine (CBM-MS) presents a unique training program, providing students theoretical understanding and practical training in 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, students will be prepared to launch professional careers at the forefront of data analytics, bioinformatics, and computer modeling, for example in the pharmaceutical and biotech industries. Likewise, for those interested in PhD studies in computational biology, this degree will strengthen their preparation and 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:
- 18 months duration, full-time study
- cohesive interdisciplinary educational program
- individual mentored research project
- career development training
Please see here for a complete list of faculty
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.
The application requires a personal statement describing the student's background and specific interest in the CBM-MS program. Applicants must submit the results of the General Graduate Record Examination. Applicants whose native language is not English must provide TOEFL exam scores.
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.)
Online applications will be available after September 1, 2017.