Course Overview

The Computational Biology (MPhil) at the University of Cambridge is a one-year research-focused master's program designed to train students in the application of computational, mathematical, and statistical techniques to solve complex biological problems. The course emphasizes interdisciplinary approaches, integrating biology with data science and bioinformatics to address challenges in genomics, systems biology, and personalized medicine.

Unique features include access to cutting-edge research projects supervised by world-leading experts, as well as training in advanced computational tools and methodologies. Students are encouraged to develop novel algorithms and models to interpret biological data, preparing them for both academic and industry roles.

Career Prospects

Graduates of this program are well-equipped for careers in academia, biotechnology, pharmaceuticals, and data-driven health sectors. The course's strong emphasis on research and computational skills ensures high employability in roles that require expertise in bioinformatics and data analysis.

Key Faculty/Staff

The program is hosted by the Department of Applied Mathematics and Theoretical Physics, with contributions from faculty across the School of Biological Sciences. Specific supervisors and faculty members are assigned based on research interests, with many being globally recognized leaders in computational biology and bioinformatics.

Unique Facilities and Partnerships

Students benefit from access to state-of-the-art computational facilities and biological data resources at Cambridge, including collaborations with the European Bioinformatics Institute (EBI) and the Wellcome Sanger Institute. These partnerships provide unparalleled opportunities for research and networking in the field of computational biology.