Taught course (will run subject to approval)

Health Data Science

University of Liverpool · School of Health Sciences

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Entry requirements

The programme is open to applications from quantitative sciences graduates, from a degree course with substantial statistical and/or computer science elements. Some of the optional modules included in the programme require programming skills of a standard commensurate with an individual who has completed a first degree in computer science.

The normal minimum entry requirement for this programme is a UK upper second-class degree or equivalent overseas degree, together with an acceptable English language qualification (IELTS 7 or equivalent, with no band less than 6.5).

Months of entry


Course content

The MSc in Health Data Science programme provides specialist training in the area of Health Data Science, aiming to educate current and future health data scientists, at all career stages, including those in the public and private sectors. Training is grounded in the team science approach to addressing important health research questions, including theory alongside practical application, and introducing you to new forms of health data. Team science communication skills development will be an essential component of each module of the programme.

Developed by internationally excellent research groups in biostatistics, public health, and computer science, combined with a number of world-leading centres in strategic areas of health, the programme offers a rigorous curriculum with research-focused teaching, training, and development in health data science.

The programme will expose you to core health research, statistics and computer science modules, with the opportunity to obtain specialised knowledge along a statistics track, computer science track, or a combination.

The programme is in a blended format using both online and campus based delivery. It is available on both a full-time and part-time basis.

The Department of Health Data Science (previously known as Department of Biostatistics) is committed to high quality applied research and teaching. The Department has a number of methodological research interests and our members are engaged in a broad range of collaborative projects. The main research areas are:

  • Clinical trials methodology
  • Statistical modelling
  • Health informatics
  • Statistical pharmacogenetics
  • Evidence synthesis.

Career prospects

Gaining skills to enhance employability is embedded in the curriculum. Potential employers are involved in the programme delivery, providing opportunities for you to engage with employers. You will have access to careers events (as networking meetings) with representation from academia, the NHS, industry and government agencies. Whenever possible, the dissertation projects will be linked with external partner organisations, exposing you to potential employment and career progression opportunities.

Information for international students

Applications from international students are welcome. Applicants must have reached a minimum required standard of English language (IELTS 7 or equivalent, with no band less than 6.5).

Fees and funding

UK students
See https://www.liverpool.ac.uk/study/postgraduate-taught/taught/health-data-science-msc/fees/
International students
See https://www.liverpool.ac.uk/study/postgraduate-taught/taught/health-data-science-msc/fees/

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Dr Ruwanthi Kolamunnage-Dona