MSc/PGDip/PGCert Health Data Science

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Overview

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.

By completing the first semester you qualify for the PG certificate. By completing the second, you qualify for the PG Diploma. Then, by completing your dissertation, you qualify for the MSc.

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.

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.

In addition, the University of Liverpool Careers and Employability Service has a track record of supporting students to gain employment, over 96% of our graduates find employment or further study 6 months after graduation. This dedicated service provides help writing applications, preparing for interviews, structuring curriculum vitae and accessing career coaching.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Introduction to Health Research, Data and Team Science
  • Introduction to Statistics
  • Using Routine Health Data for Applied Epidemiology
  • 21st Century Evaluation of Healthcare Interventions
  • Actionable Analytics
  • Database and Information Systems
  • Dissertation
  • Advanced Biostatistics I - Joint Longitudinal & Survival Data Analysis and Prediction Modelling
  • Advanced Biostatistics II - Analysis Methods for Complex Data Structures
  • Advanced Biostatistics III - Statistical Genetics and Pharmacogenetics
  • Computational Intelligence
  • Data Mining and VIsualisation
  • Machine Learning and Bioinspired Optimisation
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs