• The content of the programme will be driven by ‘real-world problems’ and delivered in a problem-centred approach
• Students will be working with ‘real world’ health data
• A multidisciplinary approach to accessing and using routine health data for research and patient benefit
• It takes a patient centred approach to evidence and to quality improvement for health professionals and others accessing and using health data
• Research led teaching from a core of staff with a track record of funded applied health research
• A teaching team with a strong track record in providing support to those returning to education to further their career development, including CPD.
• A higher maths qualification/specialism not essential as online self-assessed refresher courses will be available in statistics and introduction to python software.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| YCHI5081M | Statistics and Modelling for Health Sciences | 15 | 1 Nov to 31 Jan | PFP |
| YCHI5082M | Foundations of Health Data | 15 | 01 Oct to 31 Dec | PFP |
| YCHI5085M | Informatics and Data Science in Health Care and Research | 15 | Semester 1 (Sep to Jan) | PFP |
| YCHI5086M | Law, Ethics and Governance for Health Data Science | 15 | 1 Jan to 31 Mar | PFP |
Last updated: 30/08/2024 10:49:42
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