Taught course

Health Data Analytics

Institution
Imperial College London · School of Public Health
Qualifications
MSc

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

October

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
10,600
International students
32,500

Qualification and course duration

MSc

full time
12 months

Course contact details

Name
Jo Tite
Email
j.tite@imperial.ac.uk