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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

Globally, the use of AI in healthcare is rising rapidly. Diagnostic workflows in clinics and other healthcare settings rely on an ever-increasing amount of imaging data (such as x-rays, MRIs and ultrasounds) and their analysis puts time pressure on consultations.

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
  • 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

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
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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