| UCAS code |
None |
| Duration |
1 year full time
2 or 3 years part time |
| Entry year |
2021 |
| Contact |
Programme director: Tim Frayling
Web: Enquire online
Phone: +44 (0)1392 725500 |
Overview
Due to COVID-19, we are continually reviewing the delivery of our courses. Our priority is to ensure that safety of all our students and staff, and we are currently planning for flexibility and resilience in our approach so that whatever the year brings we will still be delivering the high level of teaching that we always have. You can stay updated on our website as the situation progresses.
- 1 of only 6 new MSc courses in the UK funded by Health Data Research UK (HDRUK). Five students will receive full fees and stipend (EU/UK fees)
- A chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology. Current students include those from Maths, Engineering, Computer Science backgrounds as well as those from Medicine and Bioscience and some are Professionals in the NHS. But they all share and start the course with data skills – the programme is about improving those existing skills and applying them in a health care and biomedical setting
- A chance to perform research in the real world – we have exciting research project opportunities, including those with placements in the NHS, and health-related industry such as large pharmaceutical companies. Current students have placements in local NHS trusts in the South West, two health data companies, and two pharmaceutical companies.
- A genuinely interdisciplinary experience – the programme is delivered by experts from mathematics, computing, biomedical science, the NHS and industry
- An opportunity to learn about and gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources
- A platform to many exciting career opportunities in health data in the UK and abroad.
83% of research in Clinical Medicine classified as world-leading or internationally excellent
Top 10 in the UK for world-leading and internationally excellent research in Public Health, Health Services and Primary Care
Major capital investment in new buildings and state-of-the-art facilities
Entry requirements
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.
Entry requirements for international students
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.
• Pearson: 58 with no less than 55 in all communicative skills.
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
Please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.
International students are normally subject to visa regulations which prevent part-time study. It is recommended that international students apply for the level of the final award you intend to complete i.e. PGCert, PGDip or Masters, due to the associated cost and requirements for a Tier 4 student Visa.
Who can apply for this course?
- Graduates with a Computer Science, Physics, Engineering or Maths degree, may not have any prior life sciences, medical or health experience.
- Graduates with Life, Health or Medical Science degrees (or Medicine intercalators) with proven basic computer programming skills.
- Graduates with a strongly numerate degree AND working as analysts in the NHS or other health related organisations.
- People without a first degree, but who can demonstrate evidence of strong quantitative skills and experience, for example if they have been working in the NHS and have good computer programming and maths
Entry requirements for international students
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
Read more
Entry requirements for international students
English language requirements
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
Course content
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.
Why Exeter?
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment. Five students will receive full fees and stipend as part of the Health Data Research UK funding.
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.
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.
View the Overall Course Structure to get an idea of what your programme may look like depending on which pathway you choose.
View the draft timetable of contact days for 2020/21 for an indication of when modules will run.
The above documents are for illustration purposes only and may vary in subsequent years.
Compulsory modules
Funding and scholarships
UK government postgraduate loan scheme
Postgraduate loans of up to £10,609 are now available for Masters degrees. Find out more about eligibility and how to apply.
Funding
There are various funding opportunities available including Global excellence scholarships. For more information visit our Masters funding page.
Five fully funded places
Five students will receive full funding of stipend and fees (EU/UK fees). There will be a selection process that focuses on computing and mathematical skills to assess which students are eligible.
Scholarships
The University of Exeter is offering scholarships to the value of over £4 million for students starting with us in September 2021. Details of scholarships, including our Global Excellence scholarships for international fee paying students, can be found on our dedicated funding page.
Pro Vice Chancellor's NHS Postgraduate Scholarship
The College of Medicine and Health is delighted to offer the Pro Vice Chancellor's NHS Postgraduate Scholarship of £5000 to two NHS staff who accept a place to study on one of our Masters programmes. Please check your eligibility before applying.
Read more
Teaching and research
In the College of Medicine and Health, our purpose is to deliver transformative education that will help tackle health challenges of national and global importance.
This course will be delivered by research-active academics from the College of Medicine and Health and the College of Engineering, Mathematics and Physical Sciences. Our non-academic partners, including the NHS, pharmaceutical and data companies, will also contribute to the course in the form of guest lectures and seminars, and provide at least 50% of the research projects.
You will be allocated an academic tutor who will remain with you throughout the programme. Academic tutors are able to provide guidance and feedback on assessment performance, guidance in generic academic skills and pastoral support. They are also able to refer you to more specialist support services, both within the College and elsewhere across the University.
This is an example of the kind of code students will need to feel comfortable with prior to the start of the course.
You can also view an interactive version of the sample test (Google account is needed) (kind thanks to Associate Professor Tom Monks).
Associate Professor Rob Anderson
Dr Thomas Monks
Associate Professor of Health Data Science
Professor Tim Frayling
Programme Director
Dr Caroline Wright
Associate professor
Dr Eilis Hannon
Associate Professor Rob Anderson
Rob teaches on the module Fundamentals of Research Design. He is an applied health services researcher and implementation scientist with a particular interest in the evaluation and synthesis of evidence about health policies and complex health interventions, such as public health programmes and changes in service organisation and delivery.
Rob has over 20 years' experience as a health services researcher, economic evaluator, and implementation science scholar in both the UK NHS and the Australian health system.
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Dr Thomas Monks
Associate Professor of Health Data Science
Thomas is an Associate Professor of Health Data Science. He holds a joint position between University of Exeter Medical School and the Institute of Data Science and AI. He is a Turing Fellow at the Alan Turing Institute and an Honorary Senior Research Fellow at the Clinical Operational Research Unit, Department of Mathematics, UCL.
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Professor Tim Frayling
Programme Director
Professor Frayling has been working as a molecular geneticist for more than twenty years, the majority of that time with common human traits and diseases, particularly type 2 diabetes, obesity and related conditions.
He obtained a personal chair as Professor of Human Genetics in 2007 and heads a team of 14 that has become internationally recognized as a world leader in the genetics of common traits and conditions. More information, including publications, is available on the team's website.
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Dr Caroline Wright
Associate professor
Caroline is an Associate Professor in Human Genetics and Genomics at the University of Exeter College of Medicine and Health. Her main research interests are in the clinical application of genome-wide sequencing technologies for the diagnosis of rare diseases.
Specifically, she is interested in understanding the penetrance of rare disease-causing variants, improving variant filtering and interpretation, modelling the effect of pathogenic missense variants using in silico protein structural analysis, and exploring the policy and ethical issues associated with implementation of genome-wide sequencing in healthcare.
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Dr Eilis Hannon
Eilis is a Senior Research Fellow in Bioinformatics at the University of Exeter College of Medicine and Health. Her research focuses on integrating epigenetic, transcriptomic and genetic data to aid the understanding of the molecular aetiology of psychiatric illnesses and neurodegenerative diseases. Specifically, her work aims to identify how genetic risk factors for complex diseases like schizophrenia alters gene regulation in the brain.
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Careers
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.
Careers support
We will support your career progression by introducing you to the full range of careers open to you, with seminars and visits to different environments in industry and in NHS Trusts. By providing funds for attendance at HDRUK workshops, and, through our Institute of Data Science and Artificial Intelligence, Alan Turing Institute meetings and conferences. The role of the personal tutor will include discussion of future career paths.
All University of Exeter students have access to Career Zone, which gives access to a wealth of business contacts, support and training as well as the opportunity to meet potential employers at our regular Careers Fairs.
