



Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
An overview of the MPhil in Computational Biology programme at the University of Cambridge, including its structure, internship opportunities, application process, and potential career paths after graduation. The programme covers topics such as genomics, image analysis, deep learning, and population genetics, with a strong emphasis on practical experience through internships and a summer project. Students have the opportunity to work in local companies, universities, or research institutions, with previous placements including Cambridge, Microsoft Research, and Harvard Medical School. The application process involves regular assessments, a 15-minute interview, and a focus on academic achievements and computational abilities. Approximately 60% of graduates continue on to PhD programmes, while others find research assistant positions or pursue careers in industry.
Typology: Study notes
1 / 5
This page cannot be seen from the preview
Don't miss anything!
Stephen Eglen
Term 1 Term 2 Term 3 Summer Oct–Dec Jan–Mar Apr–May May–Aug Genomics I Image Analysis / Biodesign Exam Internship Deep learning Cancer Evolution Systems Biology Scientific Programming Genomics II Genome Sequence Analysis Population Genetics Seminar in Computational Biology
Pre-term:
Assessment mostly via coursework (one exam). This is an intensive programme!