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MSc Health Data Science

  • DeadlineStudy Details: 1 academic year 2 academic years 5 academic years

Masters Degree Description

Discover how cutting-edge techniques are revolutionising medical research with UCL's Health Data Science MSc. This dynamic course immerses you in advanced computational methods in artificial intelligence and machine learning tailored for analysing large, complex biomedical data. You will gain the skills and expertise to drive innovations that enhance healthcare and medicine.

Entry Requirements

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

This course has been designed to meet the growing need for health data scientists who can create, manage and analyse large datasets, as identified by health research funders and industry.

Module Details

Compulsory modules

  • Data Methods for Health Research
  • Dissertation in Health Data Science
  • Data Science and Statistics
  • Principles of Health Data Science
  • Programming with Python for Health Research
  • Epidemiology for Data Science
  • Advanced Methods in Data Science and Statistics
  • Artificial Intelligence in Healthcare (AIH)
  • Essentials of Informatics for Healthcare Systems
  • Applied Computational Genomics
  • Advanced Machine Learning for Healthcare
  • Artificial Intelligence in Healthcare Group Project
  • Healthcare Artificial Intelligence Journal Club

Optional modules

  • Advanced Methods in Data Science and Statistics
  • Artificial Intelligence in Healthcare (AIH)
  • Essentials of Informatics for Healthcare Systems
  • Applied Computational Genomics
  • Advanced Machine Learning for Healthcare
  • Artificial Intelligence in Healthcare Group Project
  • Healthcare Artificial Intelligence Journal Club
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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