Graduate School of Medical Sciences

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Computational Biology

Overview

Our M.S. in Computational Biology 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 (MS-CB) 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.

Curriculum

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

Faculty

Please see here for a complete list of faculty

Program Requirements

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.
  • Résumé/C.V.
  • Three letters of recommendation. Letters must be submitted electronically as instructed through the online application.
  • College transcripts
    1. College transcripts should be submitted for all previous colleges attended — both undergraduate and graduate.
    2. 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.

We are still accepting applications for the Fall 2019 class. We are operating with a rolling admissions process at this point and so we do encourage you to submit your application as early as possible to avoid potential seat capacity or timing restrictions.

Final deadline for applications: May 1, 2019.


 Contact Information

  Trine Krogh-Madsen, PhD, Director
413 E. 69th St, Box 190
New York, NY 10065
(646) 962 - 5392
trk2002@med.cornell.edu

Weill Cornell Medicine
Graduate School of Medical Sciences
1300 York Ave. Box 65 New York, NY 10065 Phone: (212) 746-6565 Fax: (212) 746-5981