Taught course

Health Data Analytics

Imperial College London · School of Public Health

Visit the institution website for COVID‑19 updates

Entry requirements

Upper second class UK Honour's degree or overseas equivalent. Suitable candidates will have a science-based or medical degree, or an equivalent qualification in mathematics, statistics or epidemiology biology.

English language requirement IELTS overall score 7 or equivalent.

Months of entry


Course content

The MSc in Health Data Analytics is a one-year full-time course, from Imperial College London's School of Public Health, aimed at building a solid and common background in analysing health data.

Your main objective is to develop skills in using appropriate cutting edge quantitative methods to fully exploit complex and high dimensional data.

The course is delivered in collaboration with the Data Science Institute, with teaching from both the School and Institute undertaken by international experts with strong methodological background and expertise in the application of these approaches to large-scale medical and clinical data.
There is project-based work for each module and for the six-month research project, based on real data and addressing real scientific questions from research staff within School of Public Health, Data Science Institute and industrial partners.

Fees and funding

UK students
International students

Qualification, course duration and attendance options

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

Course contact details

Jo Tite