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Data Science and Analytics for Health MSc

University of Liverpool

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University of Liverpool

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Liverpool Campus

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    12 Months

Course summary

Step into the forefront of healthcare innovation with our MSc in Data Science and Analytics for Health. Data science is revolutionising healthcare by enabling data-driven decision-making to improve healthcare outcomes. We are able to use Machine learning models to analyse healthcare data to predict diseases before symptoms appear, as well as use AI tools to enhance medical images, allowing greater accuracy and speeding up disease identification. This programme will equip you with the technical and analytical skills to become a key contributor to the digital revolution in healthcare.IntroductionData science is transforming the healthcare sector where large amounts of health data has the potential to revolutionise health care interventions. With the rise of electronic health records, wearable technology and AI driven diagnostics, healthcare now generates vast amounts of data. Effectively analysing this data allows for earlier disease detection, personalised treatment plans and more efficient resource allocation.Predictive analytics can help identify at risk populations, while machine learning models assist in the diagnosis of conditions with greater accuracy. Data Science also plays a crucial role in public health by tracking disease outbreaks, guiding policy decisions and improving global health interventions.This programme blends core principles of computer science with advanced statistical analysis and data visualisation techniques to discover how health data science can enhance our understanding of disease and healthcare.The structure of the MSc has significant flexibility allowing students to follow their personal interests and specialise in, for example, prediction modelling, artificial intelligence and machine learning, and clinical trials.This MSc also has strong links to the Civic Health Innovation Labs (CHIL), an internationally recognised, multi and trans-disciplinary research centre based at The University of Liverpool. The centre brings together leading experts from academia, the NHS, local government, charities and industry to develop a new model for progressive data uses and responsible AI in civil society, fuelling innovations for health, society and economic advancement for the Liverpool city region.

Application deadline

28/08/2026

Tuition fees

Students living in United States
(International fees)

£ 2,667month

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

University information

University image

University of Liverpool

University of Liverpool

  • University League Table

    23rd

  • Campus address

    Main Site, The Foundation Building, Brownlow Hill, Liverpool, Liverpool, L69 7ZX, United Kingdom

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Subject rankings

  • Subject ranking

    Computer Science

    28th out of 117 3

    3rd out of 90 2

  • Entry standards

    / Max 223
    150 67%

    34th

  • Graduate prospects

    / Max 100
    94.0 94%

    12th

    21

  • Student satisfaction

    / Max 4
    3.01 75%

    68th

    5

  • Entry standards

    / Max 211
    149 70%

    17th

  • Graduate prospects

    / Max 100
    93.0 93%

    5th

    1

  • Student satisfaction

    / Max 4
    3.21 80%

    19th

    5

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