Computational Biology at University of Cambridge - UCAS

Course summary

The MPhil in Computational Biology course is aimed at introducing students in the biological, mathematical and physcial sciences to quantitative aspects of modern biology and medicine, including bioinformatics. The course has been developed by the Cambridge Computational Biology Institute and is run by the Department of Applied Mathematics and Theoretical Physics. The course 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. It is also suitable for students with a first degree in biosciences as long as they have strong quantitative skills (which should be documented in the application). 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). Courses are delivered in association with several University departments from the Schools of Biological Sciences and Physical Sciences, groups within the School of Clinical Medicine, the European Bioinformatics Institute and the Sanger Institute. The course concludes with a three-month internship in a university or industrial laboratory.

Assessment method

Essays, examinations and an 18,000 word thesis.


Entry requirements

Applicants for this course should have achieved a UK 2.1 Honours degree or international equivalent. Applicants whose 1st language is not English require IELTS 7.5 (with a minimum 7.0 in each component) or equivalent.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Computational Biology at University of Cambridge - UCAS