Computational biology masters cambridge

  • 1 in 4 applicants to this programme received an offer.
    Data shown above is for entry in academic year 2021/22 (sources).
  • What are the modules of Cambridge computational biology?

    Core modules are in bioinformatics, scientific programming with R, genomics, systems biology and network biology.
    All students joining this course are required to attend an introductory course in molecular biology (usually scheduled at the start of the academic year, just before formal lectures commence)..

  • Core modules are in bioinformatics, scientific programming with R, genomics, systems biology and network biology.
    All students joining this course are required to attend an introductory course in molecular biology (usually scheduled at the start of the academic year, just before formal lectures commence).
  • They introduce you to research skills and specialist knowledge and an MPhil dissertation may be a valuable introductory experience in the preparation of, and work on, a research thesis.
    In fact, in some subjects, an MPhil is a prerequisite for continuing on to research work.
The course was developed by the Cambridge Computational Biology Institute (now C2D3 Computational Biology) and is run by the Department of Applied MathematicsĀ 
The MPhil in Computational Biology course at the University of Cambridge is aimed at introducing students in the biological, mathematical and physical sciences to quantitative aspects of modern biology and medicine, including bioinformatics.
The MPhil in Computational Biology is an 11-month course aimed at introducing students to quantitative aspects of biological and medical sciences. It is intended for mathematicians, computer scientists and others wishing to learn about the subject in preparation for a PhD course or a career in industry.
The MPhil in Computational Biology is an 11-month course aimed at introducing students to quantitative aspects of biological and medical sciences. It is intended for mathematicians, computer scientists and others wishing to learn about the subject in preparation for a PhD course or a career in industry.

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