MSc Artificial Intelligence and Digital Health at University of Westminster

Programme overview

Equips students from life sciences or computing backgrounds to use AI to analyse complex healthcare datasets, including genomic and clinical data from UK Biobank and Genomics England, with a data-intensive dissertation in health.

Duration: 1 year full-time (part-time day also offered) | Intake: September 2027 | Study mode: full-time | Location: London, England, United Kingdom

What you will study

Modules include Biobanking for Data Science, Postgraduate Research Methods, Data Mining and Machine Learning, Big Data Theory and Practice, Data Visualising and Dashboarding, Systems Biology and a Postgraduate Project.

Career pathways

Specialist roles in digital health and AI applied to patient care across healthcare innovation, technology and research.

Official programme page

Application information

Entry requirements

Minimum lower second class honours degree (2:2) in a relevant discipline such as Biomedical Sciences, Applied Biotechnology, Computer Science or a closely related discipline. A professional qualification of equivalent status with associated work experience, or an equivalent qualification deemed suitable by the course team, may be accepted. One academic reference is required. English language for applicants whose first language is not English: IELTS 6.5 overall with 6.0 in each component.

Domestic applicants: GBP 11,315 a year (2027/28). Per academic year. Source

International applicants: GBP 18,685 a year (2027/28). Per academic year. Source

Intake: September 2027

Duration: 1 year full-time / 2 years part-time

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