Health Data Analytics and Machine Learning

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About the course

Course overview

Broaden your expertise in analysing health data on this Master's course.

You will gain expertise in developing, applying and interpreting results from cutting-edge statistical and machine learning approaches for analysing and integrating complex sets of data that are emerging in the health field.

Delivered by international experts in the field sharing real-world expertise and experiences,, this course will equip you with both a sound theoretical and practical understanding of the needs and utility of health data analytic tools.

You will  address real and yet unresolved scientific questions through a variety of individual and group projects and you will produce work that adheres to international publication quality standards.

The programme has a strong technical component, and will provide you with the complementary training essential for a career in health data sciences.

You will be integrated and will contribute to the fast-emerging multidisciplinary and multicultural health data analytics community within Imperial and beyond.


Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

  • Minimum academic requirement
  • English language requirement
  • International qualifications
Minimum academic requirement

2:1 in mathematics, statistics, epidemiology or biology, or a medical degree.

English language requirement

All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.

For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements .

International qualifications

We also accept a wide variety of international qualifications.

The academic requirement above is for applicants who hold or who are working towards a UK qualification.

For guidance see our accepted qualifications though please note that the standards listed are the minimum for entry to Imperial , and not specifically this Department .

If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team .


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Start date Venue
01 Sep 2025 Distance learning Book now

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