Taught course

Health Data Analytics and Machine Learning

Institution
Imperial College London · School of Public Health
Qualifications
MSc

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Entry requirements

Our minimum requirement is a 2.1 degree in mathematics, statistics, epidemiology or biology, or a medical degree.

Months of entry

October

Course content

Our MSc in Health Data Analytics and Machine Learning is a one-year full-time course 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. The programme features extensive project-based learning using real data sets and addressing real scientific questions through module-specific projects work, and individual research projects.
This Master’s is integrated in the research priorities of the School of Public Health, the Data Science Institute, the MRC Centre for Environment and Health, the UK Dementia Research Institute, and the pan-London Health Data Research UK initiative, through:
  • The contribution to teaching of key staff members (lectures, seminars, journal clubs)
  • The definition of research projects stemming from data available and yet under-exploited in each institute
As such, not only the programme will equip students with cutting-edge statistical and machine learning techniques that are required to explore emerging ‘Big’ health data, but will also provide extensive experience in their application in a real-life setting in Environmental, Molecular, Cancer, and Computational epidemiology as well as in Population and Health sciences.
Throughout, teaching will include project-based work. Projects are based on real data and will address real scientific questions from research staff within School of Public Health, Data Science Institute and industrial partners.
Careers
When you graduate, you will have acquired the strong methodological background needed to perform in-depth analysis of medical and epidemiological high throughput datasets.
You will be well-positioned to pursue further study at doctoral level, become an expert analyst in industry, or join large data companies.

Information for international students

For more information visit our English requirements page.

Fees and funding

UK students
£13,000
International students
£37,800

Qualification, course duration and attendance options

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

Course contact details