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MSc Artificial Intelligence and Medical Imaging

  • DeadlineStudy Details: 1 year

Masters Degree Description

Are you intrigued by the potential of medical imaging and AI, and how these new technologies can be used to enhance clinical care? This one-year Master’s will give you specialist expertise in the latest imaging technologies and AI methods, so you can play your part in improving disease detection and diagnosis, and help patients benefit from the treatments they need most.

Entry Requirements

A minimum of an upper second-class Bachelor’s degree in Computer Science, Engineering, Physics or related fields from a UK university or an overseas qualification of an equivalent standard. Undergraduate level knowledge in programming languages (such as Python or C++) is essential, demonstrated, e.g., by relevant courses or by an individual project they worked on during their UG. Undergraduate level knowledge of mathematics is also required, in algebra, analysis and probability. Applicants must show an interest in developing thinking and problem-solving skills.

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Fees

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

Student Destinations

By the end of this Master’s, you’ll be well placed to pursue diverse careers and opportunities – from academic research to roles in industry and positions that contribute to emerging technologies such as the use of AI in healthcare. Your expertise will be relevant in both industry and public healthcare. You could go on to develop or evolve new technologies as part of a med-tech start-up or global company. 

This MSc is also an excellent starting point for doctoral studies and a career in research, as you’ll be learning from world-leading UCL researchers at the forefront of healthcare innovations.

Module Details

Compulsory modules

  •  Biomedical Ultrasound
  •  Information Processing in Medical Imaging
  •  Programming Foundations for Medical Image Analysis
  •  MSc Research Project
  •  Machine Learning in Medical Imaging
  •  Applied AI in Medical Imaging
  •  Applied Deep Learning
  •  Medical Imaging with Ionising Radiation
  •  MRI and Biomedical Optics

Optional modules

  •  Computer-Assisted Surgery and Therapy
  •  Medical Device Enterprise Scenario
  •  Artificial Intelligence for Surgery and Intervention
  •  Inverse Problems in Imaging
  •  Computational Modelling for Biomedical Imaging
  •  Computational MRI

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