This MSc teaches the underlying concepts of Medical Robotics and Artificial Intelligence (AI), and how these technologies can be deployed into surgical environments and improve healthcare.
Students will cover key topics such as robot kinematics, motion planning, control and navigation along with data processing and analysis using modern methods that rely on Machine Learning (ML) and Artificial Intelligence (AI). In addition, students will learn topics such as surgical data acquisition, and develop an understanding of the devices used to capture surgical data (e.g. trackers, robots, imaging devices). They will also learn about the wider topic of medical device development.
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 standard 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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Upon completion of this programme, a successful student 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 for computer and robot vision tasks, or the development of surgical robots for minimally invasive surgery. This MSc is an excellent starting point for further doctoral studies, as students 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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