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UCL (University College London): Health Data Science
| Institution | UCL (University College London) View institution profile |
|---|---|
| Department | Institute of Health Informatics View department profile |
| Web | https://www.ucl.ac.uk/population-health-sciences |
| Study type | Taught |
Summary
This programme covers computational and statistical methods applied to large and complex biomedical data in order to improve health and healthcare through medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities.
Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year. English level: Level 2 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year. English level: Level 2 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year. English level: Level 2 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year. English level: Level 2 |
| Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Make your Population Health Master’s matter
Join a world-leading faculty tackling today’s most urgent health challenges – and take your Master’s further, wherever your career leads.
At UCL’s Faculty of Population Health Sciences, you’ll deepen your expertise and gain the critical thinking, practical skills, and interdisciplinary insight employers value across the health sector.
- Study at the ninth best university in the world (QS World Rankings 2026) and join a faculty ranked #3 globally for public health (ShanghaiRankings 2024).
- Ranked #1 in the UK for research power in medicine, health and life sciences (REF 2021), …
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