MRes Artificial Intelligence Enabled Healthcare

A minimum of an upper second class honours undergraduate degree, or a Master's degree in a relevant discipline (or equivalent international qualifications or experience). Our preferred subject areas are Physical Sciences (Computer Science, Engineering, Mathematics and Physics) or Clinical / Biomedical Science. Applicants with a clinical background or degree in Biomedical Science must be able to demonstrate strong computational skills. You must be able to demonstrate an interest in creating, developing or evaluating AI-enabled Healthcare systems.

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

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

The distinctive characteristics of our programme allow us to produce graduates who are prepared to:

• engineer adaptive and responsive solutions that use AI to deal with complexity;
• innovate across all levels of care, from community services to specialist hospitals;
• be comfortable working with patients and professionals, and responding to their input;
• appreciate the importance of addressing health needs rather than creating new demand.

Compulsory Modules:

• CHME0033 Dissertation in Artificial Intelligence Enabled Healthcare
• CHME0032 Healthcare Artificial Intelligence Journal Club

Optional Modules

• CHME0012 Principles of Health Data Science
• CHME0013 Data Methods for Health Research
• CHME0015 Advanced Statistics for Records Research
• CHME0016 Machine Learning in Healthcare and Biomedicine
• CHME0031 Programming with Python for Health Research
• CHME0034 Computational Genetics of Healthcare
• CHME0035 Advanced Machine Learning for Healthcare
• CHME0039 Artificial Intelligence in Healthcare Group Project
• COMP0084 Information Retrieval and Data Mining