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2022/23 Taught Postgraduate Programme Catalogue

PGDip Health Informatics with Data Science Part Time

Programme code:PGD-HI/DS-PTUCAS code:
Duration:24 Months Method of Attendance: Part Time
Programme manager:Wendy Harrison Contact

Total credits: 120

Entry requirements:

- First degree in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) 2:1 OR previous work experience (minimum 2 years) of handling and/or analysing data
- IELTS 7 – minimum of 6.5 in each component

School/Unit responsible for the parenting of students and programme:

Leeds Institute of Health Sciences, School of Medicine

Examination board through which the programme will be considered:

School of Medicine Postgraduate Programmes Assessment Board

Programme specification:

• 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 pre-entry online self-assessed refresher courses will be available in statistics and introduction to python software.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Candidates are required to study a total of 60 credits.

Compulsory modules:

Candidates will be required to study the following compulsory modules:

YCHI5081MStatistics and Modelling for Health Sciences15 creditsSemester 1 (Sep to Jan)
YCHI5082MFoundations of Health Data15 credits01 Oct to 31 Dec
YCHI5085MInformatics and Data Science in Health Care and Research15 creditsSemester 1 (Sep to Jan)
YCHI5086MLaw, Ethics and Governance for Health Data Science15 credits1 Jan to 31 Mar

Optional modules:

Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

YCHI5083MHuman Factors in Health Data Science15 credits1 Mar to 30 Apr
YCHI5087MArtificial Intelligence and Machine Learning in Health15 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates will be required to study 30 credits from the following optional modules:

Candidates will be required to study 2 modules from the following optional modules:

HECN5010MPrinciples of Health Economics15 creditsNot running in 202223
HECN5020MEconomic Evaluations for Health Technology Assessment15 creditsNot running in 202223
MEDR5260MIntroduction to Health Economics15 creditsSemester 2 (Jan to Jun)
YCHI5075MSpatial Analytics and Visualisation for Health15 credits1 Apr to 30 June

Last updated: 03/04/2023 13:56:12


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