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MRes Artificial Intelligence Enabled Healthcare

  • DeadlineStudy Details: 1 year - 2 years

Masters Degree Description

Artificial Intelligence (AI) has the potential to transform health and healthcare systems globally, yet few individuals have the required skills and training. To address this challenge, the Artificial Intelligence Enabled Healthcare MRes will create a unique interdisciplinary environment to train the brightest and best healthcare artificial intelligence scientists and innovators of the future.

Entry Requirements

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.

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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

We expect graduates to remain within the field of AI and healthcare. Following in the footsteps of previous graduates mentored by our experienced supervisors, they will embark on successful careers in academia and industry. This includes progressing to PhD programmes at top universities, securing positions at high-tech companies focused on healthcare, and working in healthcare departments such as the NHS.

Module Details

Compulsory modules

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

Optional modules

  • Principles of Health Data Science
  • Data Methods for Health Research
  • Advanced Methods in Data Science and Statistics
  • Artificial Intelligence in Healthcare (AIH)
  • Programming with Python for Health Research
  • Applied Computational Genomics
  • Advanced Machine Learning for Healthcare
  • Artificial Intelligence in Healthcare Group Project
  • Data Science and Statistics
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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