Health Data Science at University of Exeter - UCAS

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Course summary

  • 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. This programme offers the 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.
  • This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
  • We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
  • This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
  • Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
  • To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Modules

For a full list of compulsory and optional modules please visit our course page.

Assessment method

Please visit our course page for current assessment methods.


How to apply

International applicants

Our International Student Support can help you with what you need to do before you arrive and when you get here as a new international student. They offer ongoing support throughout your studies whether that be setting up a bank account or arranging healthcare. Our Global Chums Buddy Scheme and our Intercultural Cafe provide opportunities to meet staff and connect with students. INTO University of Exeter provide pre-sessional English courses for international students as well as free insessional support. For more information about entry requirements, bursaries and scholarships and how to apply please visit our course page.

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. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. 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 Accreditation of prior learning for Masters courses in Healthcare and Medicine Accreditation of Prior Learning (APL) is a process whereby students, who have already gained relevant skills and knowledge prior to the start of their course, may be granted a partial credit exemption from their programme instead of unnecessarily repeating work. Please visit our website to find out more about APL. For full details, including English language requirements and international equivalencies, please visit our course page.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

In addition to tuition fees and living costs, your programme of study may have other costs associated with it, such as laboratory equipment or field trips. For more information about fees and additional costs please visit our course page.

Sponsorship information

We invest heavily in scholarships for talented prospective Masters students. This is in addition to the UK Government’s Postgraduate Loan Scheme. For information on how you can fund your postgraduate degree at the University of Exeter, please visit our course page.

Health Data Science at University of Exeter - UCAS