Taught course

Data Science for Research in Health and Biomedicine

UCL - University College London · Institute of Health Informatics

Entry requirements

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Standard.

Further information can be found on our English language requirements page.

Months of entry


Course content

Students will become expert in linking and analysing large complex datasets, using techniques which are transforming medical research and creating exciting new commercial opportunities. Graduates will be equipped for roles in the pharmaceutical industry, the NHS and technology start-ups, as well as academia.

The staff delivering the teaching are international experts in health data science and students will learn about cutting-edge research projects.

The collaboration is part of the Farr Institute, a network of centres of excellence created to enhance the UK\'s strength in data-intensive research. This MSc will draw on that collaboration, giving students access to the most advanced research in the field.

Full-time: 1 year; Part-time: 2 years; Flexible: 2-5 years;

Fees and funding

Fee UK/EU Full-time: GBP9,560; Overseas Full-time: GBP24,140;

Qualification and course duration


full time
12 months
part time
24 months
60 months


The programme is delivered by clinicians, statisticians and computer scientists from UCL, including leading figures in data science. We use a combination of lectures, practical classes and seminars. A mixture of assessment methods is used including examinations and coursework.

Course contact details

+44 (0)20 3370 1214