Course summary
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
2:1 in mathematics, statistics, epidemiology or biology, or a medical degree. We also accept a wide variety of international qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ