PhD Population and Health Data Science

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Tuition fee
Apply by
Start date
Jan 2025
Jul 2025
Sep 2025
Oct 2025
Jan 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course allows a maximum of 8 backlogs

Entry Points: September, January, April, July

Our Population and Health Data Science PhD programme is available on a full-time or part-time basis, over 3 or 6 years. 

The growing pressures on healthcare systems globally are well documented, with chronic diseases, ageing populations and increased incidents of mental health. Advancements in medicine are improving health for more and more people, but inequalities in the healthcare received by people based on where they are born, live and work are prevalent.  Population health aims to address these inequalities, by working to better understand the healthcare needs of groups of people, improving healthcare models and providing innovative solutions to meet people’s health needs. Additionally, healthcare already has an established strong relationship with Information and Communication Technologies (ICT), and is continuously expanding the knowledge forefront as new methods of acquiring data concerning the health of human beings are developed.

Your programme will feature:

During your course, you will benefit from our highly regarded specialist facilities. Our vision is to advance medical science through interdisciplinary research and innovation. We are a leading centre for medical research and a unique example of successful collaboration between NHS, academia and industry in the life science and health sector.

We have strong connections with a range of external partners and collaborators, including the NHS; Swansea Bay University Health Board (SBUHB); Hywel Dda University Health Board; UK research council; Welsh Government and numerous national and international links. These connections, along with the skills and qualities you develop during your research degree will enhance your CV, and help you stand out in a highly competitive graduate employment market

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Requirements

The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Jan 2025
Jul 2025
Sep 2025
Oct 2025
Jan 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course allows a maximum of 8 backlogs