Our minimum requirement is a 2.1 degree in an appropriate subject.
All candidates must demonstrate a minimum level of English language proficiency for admission to the College.
For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.
Months of entry
Our one-year full-time course provides broad training to prepare you for a career in biomedical research. The programme provides an excellent background in biomedical research, and will integrate chemical, biological and physiological aspects in a unified approach.
This course teaches a mechanistic approach to the problems encountered in molecular and cellular biomedical science. It also emphasises an investigative and empirical approach to the practical problems encountered in experimental and human biomedical science.
The course is made up of a general stream and number of specialist streams.
All of our biomedical research streams have the same course structure. The taught elements and research project are determined by your chosen stream.
Over 12 months, you complete two five-month research projects (4.5 days per week) and a core programme (0.5 days per week) including grant writing, technical workshops, journal clubs and transferable skills.
The research projects incorporate cutting-edge developments in the field. You will experience some of the most technologically advanced approaches currently being applied to biomedical research.
Data Science stream
This stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real-world biomedical studies.
You will gain experience of analysing and modelling data from multiple sources and applying it to biomedical questions. You’ll also learn how to implement statistical and machine learning techniques and use scientific thought when interpreting the results of data sets.
Throughout the stream, you will develop communication, presentation and grant-writing skills. Students will become familiar with evaluating research reports through writing, presentations and seminars.
The stream is based in the Division of Computational and Systems Medicine and developed in collaboration with Imperial's Data Science Institute.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details