Health Data Analytics and Machine Learning at Imperial College London - UCAS

Course options

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

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Health Data Analytics and Machine Learning at Imperial College London - UCAS