MSc Health Data Science

at University of Exeter

Our MSc Health Data Science will help you develop innovative skills needed to unlock knowledge from complex health data, to address some of the biggest health challenges that we face across the globe today. This course combines the expertise of our world-renowned health scientists with experts in mathematics and computer science to develop a better understanding of diseases and to find ways to prevent, treat and cure them.
 

Course structure

The programme is also divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with one credit being nominally equivalent to 10 hours of work, a 15 credit module being equivalent to 150 hours of work and a full Masters degree being equivalent to approximately 1,800 hours of work. Therefore, for applicants who are working full time (or close to full-time), we recommend applying to complete the Masters degree over 2 or 3 years rather than 1 year.
 

To gain a Masters qualification, you will need to complete 180 credits at level 7.
 

It is also possible to exit with a PGCert after completing 60 credits of taught modules or a PGDip after completing 120 credits of taught modules. The list of modules below shows which are compulsory.

Modules:
 

The MSc Health Data Science can be taken as a full time or part time programme of study, as appropriate. It is delivered at National Qualification Framework (NQF) level 7.
 

The programme comprises 180 credits in total: taught modules worth 120 credits in total, and a supervised dissertation worth 60 credits. We have eleven partners from the NHS or industry who will provide and supervise dissertations.
 

The programme is divided into units of study called modules which are assigned a number of 'credits'. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work.
 

Compulsory modules

• Coding for Machine Learning and Data Science a
• Fundamentals of Research Design a
• Health Statistics for Data Scientists b
• Learning from Data b
• Making a Difference with Health Data
• Stratified Medicine
• Research Project

You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree.
 

Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend.
 

 A personal statement, detailing your reasons for seeking to undertake this subject, will be required. 

English Language Requirements
 

• IELTS: Overall score 6.5. No less than 6.0 in any section.
• TOEFL: Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.

UK fees: 
 

 Fees are subject to an annual increment each academic year.

• MSc fees (1 year): £10,500 full-time

• MSc fees (2 year): £5,250
   

Standalone Module Fees: UK: £950 per 15 credit module
 

International fees:
 

• MSc fees (1 year): £23,000 full-time

• MSc fees (2 year): £11,500
   

Standalone module fees: International: £2100 per 15 credit module 

You will be equipped to work in health and biomedical interdisciplinary teams and to tackle the exciting opportunities and challenges in health data science across a wide range of careers. We will focus on two broad areas in which Exeter excels – health services research and modelling, and stratified medicine, including genomics.