Taught course

Health Data Science for Applied Precision Medicine

University of Dundee · School of Medicine

Entry requirements

A UK Upper Second-Class Honours (2:1) degree, OR a UK Medical degree, OR an equivalent degree (full details of suitable equivalent degrees can be found on the University of Dundee website). Your degree should be in a relevant scientific discipline (for example biological or medical sciences), or an appropriate health professional qualification such as medicine and allied health professions.

Months of entry


Course content

On this course we welcome students with a background in biomedical or computational science as well as medical professionals, allied health professionals and clinical scientists.

You can learn how Big Data (including genomics, biomarkers and clinical imaging) and electronic patient records, can be applied in a Precision Medicine approach to improve the healthcare of individuals and populations.

Precision Medicine is an area of rapidly growing importance for healthcare organisations globally. It integrates Big Data relevant to healthcare to target safer and more effective treatments to individual patients.

Understanding why individuals differ in susceptibility to disease and response to treatment, and being able to tailor more precise treatment to the individual patient, has clear benefits both for patients and healthcare organisations, as the global Covid-19 pandemic has highlighted.

In this course you will use anonymised real healthcare data linked to genome and clinical imaging data.

You will be taught by renowned biomedical research scientists and doctors applying precision principals in their clinical practice, giving you a comprehensive range of relevant applied skills, insights and knowledge.

Qualification, course duration and attendance options

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

Course contact details

Dr Alex Doney