MSc Health Data Analytics and Machine Learning at Imperial College London

Develop skills in using cutting-edge quantitative methods to fully exploit complex data. Broaden your expertise in analysing health data in this Master's course. You will gain expertise in developing, applying and interpreting results from cutting-edge statistical, machine learning, and artificial intelligence approaches for analysing and integrating complex sets of data that are emerging in the health field.

Faculty: Faculty of Medicine  |  Department: School of Public Health  |  Duration: 1 year  |  Study mode: full-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include Artificial Intelligence for Health Sciences, Introduction to Statistical Thinking and Data Analysis, Principles and Methods of Epidemiology, Molecular Epidemiology, Translational Data Science Part 1, Clinical Data Management, Machine Learning.

Career pathways

Graduates of our faculty of medicine courses go on to succeed in a wide range of sectors. These include healthcare, pharmaceuticals, government, charities and NGOs, consultancy, technology, research and development, education. Typical roles include Data analyst, Policy advisor, Trainee Patent Attorney, Project Manager, Medical Affairs Writer, Associate Scientist, Regulatory advisor, Healthcare Consultant.

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