Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time
The Artificial Intelligence and Medical Imaging MSc teaches the underlying concepts of Medical Imaging and Artificial Intelligence (AI), and how these technologies can be deployed in clinical environments, to help improve detection of disease and diagnosis from imaging data with the aim to enhance patient care.
This MSc Programme covers the core technology, applications and state-of-the-art medical imaging technology and its computational analysis.
You will undertake a series of compulsory modules, designed to teach the core methods and techniques in both AI and Medical Imaging:
You will also undertake a research dissertation in these areas, giving the opportunity to put these skills into practice and gain exposure to clinically relevant problem domains.
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.
For fees and funding options, please visit website to find out more.
Upon completion of this programme, you will be ideally placed to pursue a range of careers and opportunities from academic research to careers in industry and contribute to emerging technologies such as the use of AI in healthcare. This MSc is an excellent starting point for further doctoral studies, as you will learn from world-leading UCL researchers at the cutting edge of their fields. The healthcare sector also includes a field of medical technology (MedTech) start-ups and global companies, providing opportunities in industry or public healthcare.
Compulsory modules
Optional modules
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Mon 25 Nov 2024