Biomedical Research (Data Science)

Entry requirements

Our minimum requirement is a 2.1 degree in an appropriate subject.

Months of entry

October

Course content

This programme provides an excellent background in biomedical research, and integrates chemical, biological and physiological aspects in a unified approach.

You will acquire an understanding of modern molecular and cell science in world class biomedical research laboratories through both theory and practical exposure. You will also demonstrate practical dexterity in both commonly employed and more advanced practical techniques.

Within this programme, you can choose to study a general stream or one of a number of specialist streams. All of our biomedical research streams have the same course structure and each stream has its own tailored set of projects alongside a core programme of lectures, seminars and practical classes.

You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.

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.