Taught course

Computational Biology

University of Cambridge · Department of Applied Mathematics and Theoretical Physics

Entry requirements

Applicants for this course should have achieved a UK II.i Honours Degree or its international equivalent. Applications are under review between September and April. Please note that it may take some time for a final decision to be made. Decisions may not be made until after the closing date for applications. Applicants should provide with their application documented evidence of their mathematical and computational ability. This is most important for applicants from the biosciences. This documentation could take the form of a brief overview of the mathematics/computing courses the applicant has taken at University level. If necessary additional documentation may be uploaded.

Months of entry


Course content


Introduced in 2004, this course was developed by the Cambridge Computational Biology Institute, an interdisciplinary centre bringing together the unique strengths of Cambridge in medicine, biology, mathematics and the physical sciences.

The course is 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. 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).

This 11-month course consists of core modules in bioinformatics, scientific programming with R, genomics, systems biology and network biology. Before the start of the first term, students are required to attend an introductory course in molecular biology. 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.

Qualification and course duration


full time
11 months

Course contact details

Admissions Officer
+44 1223 337733