The PG Dip in Health Research delivers advanced research methods training. Designed and delivered by active applied health and social care researchers, our course will equip you with the knowledge and skills you need to progress your research career. Our course is ideal for health and social care professionals, those already working in research, and those who have an interested in applied health and social care research.
What will I learn on the PG Dip in Health Research?
The PG Dip in Health Research aims to support your development as a researcher able to design, conduct and report high quality applied research to address health and social care challenges.
You will be supported to:
- Explore the fundamental principles of a range of study designs used in health and social care research
- Apply your knowledge to critically evaluate the quality of real-world research examples
- Gain practical experience of managing, analysing and presenting data
- Advance your knowledge on key areas of health and social care research (e.g. statistical methods, qualitative research, health economics, systematic reviews, clinical trials, informatics and data science and / or foundations of health data)
- Clearly communicate and present research ideas and data analysis
- Develop critical thinking skills.
You will be supported by our dedicated and enthusiastic team of academics and researchers to develop and apply your research knowledge and skills through interactive teaching sessions using current examples from their own research. Topics covered include: research philosophy; quantitative, qualitative and mixed method study design; the practicalities of planning, conducting and disseminating your research (including: writing a research proposal; engaging research collaborators, ethical approval, obtaining funding, searching the literature, disseminating research through posters and writing publications); managing and analysing a range of data (including quantitative and qualitative data); critical appraisal of existing studies. Optional modules cover topics including: statistics, qualitative research design and practice, health economics, clinical trials, systematic reviews, informatics and data science and/or health data.
By the end of the PG Dip in Health Research you will have advanced knowledge in health and social care research designs and techniques. This will equip you with the knowledge and skills to progress your research career.
How is the PG Dip in Health Research delivered?
Designed to fit around your personal and professional commitments, the PG Dip in Health Research is a part-time course comprising four core and four optional modules. Most modules are taught in blocks which run over four consecutive days, with a gap of several weeks between modules. Our PG Dip in Health Research can be taken as a stand-alone qualification or as a stepping-stone to a MSc in Health Research.
Our expert tutors adopt an interactive learning style using a combination of seminars, group work and practical sessions, to allow you to develop and apply your knowledge and skills in practice. Our approach means you will learn together with colleagues from a range of professional backgrounds, supported by our interdisciplinary team of applied researchers.
(Not recruiting in 2024/25)
[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 |
|---|---|---|---|---|
| MEDR5120M | Analytic Research | 15 | Semester 1 (Sep to Jan) | PFP |
| MEDR5130M | Intervention Research | 15 | Semester 1 (Sep to Jan) | PFP |
| MEDR5310M | Getting started in health research | 15 | Semester 1 (Sep to Jan) | PFP |
| MEDR5320M | Capturing and Handling Data in Research | 15 | Semester 1 (Sep to Jan) | PFP |
Candidates will be required to study up to 60 credits from the following optional modules (total of 60 credits in optional modules across years 1&2):
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MEDR5145M | Statistical Methods in Health Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5160M | Systematic Reviews of Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5180M | Clinical Trials Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5250M | Applied Qualitative Health Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5260M | Introduction to Health Economics | 15 | Semester 2 (Jan to Jun) |
(Not recruiting in 2024/25)
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study up to 60 credits from the following optional modules (total of 60 credits in optional modules across years 1&2):
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MEDR5145M | Statistical Methods in Health Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5160M | Systematic Reviews of Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5180M | Clinical Trials Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5250M | Applied Qualitative Health Research | 15 | Semester 2 (Jan to Jun) | |
| MEDR5260M | Introduction to Health Economics | 15 | Semester 2 (Jan to Jun) | |
| YCHI5082M | Foundations of Health Data | 15 | Semester 1 (Sep to Jan) | |
| YCHI5085M | Informatics and Data Science in Health Care and Research | 15 | Semester 1 (Sep to Jan) |
Last updated: 09/04/2025 11:20:16
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