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Artificial Intelligence and Digital Health MSc

University of Westminster, London

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Cavendish

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    1 Year

Course summary

AI is everywhere. If you want to future-proof your career, a solid understanding of AI is required, including in healthcare. Our MSc in Artificial Intelligence and Digital Health offers a comprehensive and interdisciplinary approach which will equip you with this knowledge and prepare you for the dynamic field of digital health.Whether your background is in life sciences or computing, we’ll provide you with the necessary tools, methods, and experiences in using AI to analyse complex datasets. These datasets will be drawn from various aspects of healthcare, including diagnosis, disease prevention and wellness promotion. While you complete your bespoke data-intensive dissertation project in health, you’ll have the opportunity to use advanced computational tools and machine learning algorithms to identify novel personalised healthcare interventions.Benefitting from the UK’s influential role in healthcare data, and our location in London, a hub of global AI development, you’ll learn about datasets, integrating genomic and clinical data from initiatives such as the UK Biobank, Genomics England and Pharm GKB, exploring patterns and hidden associations to inform diagnosis and treatment decisions. With leading companies like Google Deep Mind and the Alan Turing Institute based in London, you’ll be immersed in innovation.You’ll develop a critical understanding of digital health knowledge bases, algorithms, and emerging trends in AI, whilst acquiring essential skills in data management, visualisation, analysis, and programming languages such as Python and R.You’ll also consider ethical, social, legal implications (ELSI) and equity, diversity, and inclusion (EDI) related to data generation, handling, mining, and results development. You’ll learn to identify biases, such as those derived from ancestry or sex, in biobanking datasets, and how these biases condition our understanding of the world.This course will provide you with a robust foundation for a career in this rapidly evolving field. You’ll graduate ready to make meaningful contributions to personalised medicine and address the complex challenges of digital health with ethical considerations and an inclusive global perspective.Professional recognition: The University of Westminster is a member of the Turing University Network, providing universities with an interest in data science and AI with the opportunity to engage and collaborate with The Alan Turing Institute and its broader networks.

Application deadline

04/09/2026

Tuition fees

Students living in United States
(International fees)

£ 18,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Westminster, London

University of Westminster, London

  • University League Table

    115th

  • Campus address

    Cavendish, 115 New Cavendish Street, London, Greater London, W1W 6UW, United Kingdom

The university has a strong reputation for being diverse and welcoming, with students and staff from over 160 countries around the world.
Students have access to Zone29, the university’s new careers and enterprise hub, and enjoy the opportunities and vibrant cultural life that London offers.
International students have a dedicated Welcome to the UK programme and FANS (Friends of Arriving New Students) programme, led by students.

Subject rankings

  • Subject ranking

    102nd out of 118 7

  • Entry standards

    / Max 229
    104 45%

    91st

  • Graduate prospects

    / Max 100
    59.0 59%

    108th

    11
  • Student satisfaction

    / Max 4
    3.13 78%

    35th

    10

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