Programme Specification for the 2019/0 academic year
MSc Health Data Science (Full Time)
1. Programme Details
| Programme name | MSc Health Data Science (Full Time) | Programme code | PTS1EMSEMS10 |
|---|---|---|---|
| Study mode(s) | Academic year | 2019/0 | |
| Campus(es) | Streatham (Exeter) St Luke's (Exeter) |
NQF Level of the Final Award | 7 (Masters) |
2. Description of the Programme
Exeter’s MSc in Health Data Science will be delivered by research-active academics from two Colleges – the College of Medicine and Health (CMH) and the College of Engineering, Maths, Physics, and Computer science (CEMPS). Our non-academic partners, including the NHS and industry (including two international partners), will contribute, in the form of guest lectures and seminars to taught modules, and provide at least 50% of the research projects. This approach will result in a genuine inter-disciplinary training for our students. The syllabus will be delivered in three broad parts, each of 60 credits. In Part one, Autumn term, the students will undertake four 15 credit taught modules – two from CEMPS’ existing MSc in Data Science (“Fundamentals of Data Science ECMM444” and “Learning from Data ECMM445”), one from CMH’s existing MSc in Research Methods (currently called “Core concepts in applied health services research but that is being revamped and labelled as “Fundamentals in health services research” HPDM052, or similar – lead Rob Anderson IHR) and one new module “health statistics for data scientists” (no code as yet).
In part 2, Spring term, the students will undertake two 30 credit modules, on in health services research and labelled “Making a difference with health data”, and delivered by IHR staff main lead Martin Pitt, and one with a strong focus on genomic medicine, labelled “Stratified medicine” and delivered by IBCS staff, main lead Andy Wood. These two modules will draw on existing academics’ expertise, but require new development and be delivered as new 30 credit modules.
In Part 3, summer term, the students will be embedded in health or biomedical environments to undertake their research project, choosing a project from one of the two main areas – health services or stratified medicine. At least 50% of our students will benefit from undertaking a project outside of academia.
3. Educational Aims of the Programme
4. Programme Structure
5. Programme Modules
The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual programme review of this programme.
Stage 1
Compulsory Modules
| Code | Module | Credits | Non-condonable? |
|---|---|---|---|
| ECMM444 | Fundamentals of Data Science | 15 | No |
| HPDM092 | Fundamentals of Research Design | 15 | No |
| HPDM096 | Health Statistics for Data Scientists | 15 | No |
| ECMM445 | Learning from Data | 15 | No |
| HPDM097 | Making a Difference with Health Data | 30 | No |
| HPDM098 | Stratified Medicine | 30 | No |
| HPDM099 | Research Project | 60 | No |
6. Programme Outcomes Linked to Teaching, Learning and Assessment Methods
Intended Learning Outcomes
A: Specialised Subject Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
Intended Learning Outcomes
B: Academic Discipline Core Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
Intended Learning Outcomes
C: Personal/Transferable/Employment Skills and Knowledge
| Intended Learning Outcomes (ILOs) On successfully completing this programme you will be able to: | Intended Learning Outcomes (ILOs) will be... | |
|---|---|---|
| ...accommodated and facilitated by the following learning and teaching activities (in/out of class): | ...and evidenced by the following assessment methods: | |
7. Programme Regulations
Classification
Full details of assessment regulations for all taught programmes can be found in the TQA Manual, specifically in the Credit and Qualifications Framework, and the Assessment, Progression and Awarding: Taught Programmes Handbook. Additional information, including Generic Marking Criteria, can be found in the Learning and Teaching Support Handbook.
8. College Support for Students and Students' Learning
9. University Support for Students and Students' Learning
Please refer to the University Academic Policy and Standards guidelines regarding support for students and students' learning.
10. Admissions Criteria
Undergraduate applicants must satisfy the Undergraduate Admissions Policy of the University of Exeter.
Postgraduate applicants must satisfy the Postgraduate Admissions Policy of the University of Exeter.
Specific requirements required to enrol on this programme are available at the respective Undergraduate or Postgraduate Study Site webpages.
11. Regulation of Assessment and Academic Standards
Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures.
The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details.
(http://as.exeter.ac.uk/support/admin/staff/qualityassuranceandmonitoring/tqamanual/fullcontents/)
12. Indicators of Quality and Standards
The programme is not subject to accreditation and/ or review by professional and statutory regulatory bodies (PSRBs).
13. Methods for Evaluating and Improving Quality and Standards
The University and its constituent Colleges review the quality and standard of teaching and learning in all taught programmes against a range of criteria through the procedures outlined in the Teaching Quality Assurance (TQA) Manual Quality Review Framework.
14. Awarding Institution
15. Lead College / Teaching Institution
Faculty of Health and Life Sciences
16. Partner College / Institution
Partner College(s)
Not applicable to this programme
Partner Institution
Not applicable to this programme.
17. Programme Accredited / Validated by
Not applicable to this programme.
18. Final Award
MSc Health Data Science (Full Time)
19. UCAS Code
Not applicable to this programme.
20. NQF Level of Final Award
7 (Masters)
21. Credit
| CATS credits | ECTS credits |
|---|
22. QAA Subject Benchmarking Group
23. Dates
| Origin Date | Date of last revision |
|---|
