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:
- 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.
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:
- Online Application
- Personal Statement describing your background and specific interest in the MS-CB program.
- Three letters of recommendation. Letters must be submitted electronically as instructed through the online application.
- College transcripts
- College transcripts should be submitted for all previous colleges attended — both undergraduate and graduate.
- Official transcripts will be required upon acceptance, however students may submit unofficial transcripts with their initial application.
- $75 application fee
- Results of the General Graduate Record Examination. The Institution Code Number is 2119.
- TOEFL scores for students who have not received a degree from an English language institution. The Institution Code Number is 2119.
The application site for Fall 2020 admission is open.
Priority deadline for applications: February 15, 2020.
Applications are also accepted after the February 15 priority deadline up until May 1, but applications submitted during this period will only be reviewed as long as space remains in the class.