- Level
- Postgraduate
- Duration
- 3-4 years
- Mode
- Full-time
- Subject
- Computer Science
- Location
- United Kingdom
Overview
Undertake research in cutting edge data science methods and learn how these can be used in a wide variety of health-related applications on this research degree in health data science. Projects range from state-of-the-art algorithm development through to applying machine learning, artificial intelligence or statistical methods in groundbreaking biomedical research. The Department of Health Data Science, within the Institute of Population Health, produces cutting-edge data science research. The Institute has strong links with civic health collaborators throughCivic Health Innovation Labs (CHIL), an interdisciplinary research centre. This provides our postgraduate researchers with excellent access to policy makers, ensuring a dynamic experience of using data science methods to inform policy decisions. The Department of Health Data Science undertakes high-impact research in statistical genetics, pharmacogenetics, joint modelling of longitudinal and time-to-event data, multivariate data analysis, stereology, multi-source evidence synthesis and clinical trials. The department also boasts a sustained track record of research funded by the Medical Research Council, Wellcome Trust, Horizon 2020 and the National Institute for Health and Care Research (NIHR), and is committed to excellence in methodological and applied research. This provides an ideal environment for postgraduate researchers to develop cutting-edge machine learning, statistical and data science skills. You’ll have the opportunities to apply these skills in tackling important health challenges such as stratified medicine, infections, regenerative medicine and public health. We welcome proposals from potential postgraduate researchers with their own topic ideas. We have expertise in supervising projects across a range of topics including: The Department of Health Data Science undertakes high-impact research in statistical genetics, pharmacogenetics, joint modelling of longitudinal and time-to-event data, multiv
Entry requirements
IELTS: 7.0 overall, with no component below 6.0 TOEFL iBT: If you took a TOEFL test on or before 20 January 2026, you’ll need 100 overall, with minimum scores of listening 21, writing 21, reading 21 and speaking 23. If you took a TOEFL test from 21 January 2026 onwards, when a new scoring system was introduced, you’ll need 5 overall, with 4.5 or above in all components. TOEFL Home Edition not accepted. Pearson PTE Academic: 69 overall, with no component below 61
English language requirements
| IELTS | 7.0 overall, no part below 6 |
|---|
IELTS 7.0 overall, with no component below 6.0
Fees
International students: Full-time place, per year - £32,200; Part-time: £16,100
UK students: Full-time place, per year - £5,238; Part-time: £2,619
UK/Home: Full-time place, per year - £5,238; Part-time: £2,619
International: Full-time place, per year - £32,200; Part-time: £16,100
Start dates
Year round
Application deadline
Rolling admissions - check project listing
Campus
- Liverpool, United Kingdom
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