Medical Robotics and Artificial Intelligence MSc

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.

About this degree

Students will cover key topics such as data processing and data analysis using modern methods that rely on Machine Learning (ML) and Artificial Inteligence (AI); surgical data acquisition, including an understanding of the devices used to capture surgical data (e.g. trackers, robots, imaging devices); robot kinematics, motion planning, control and navigation.

Careers

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 use of AI for computer and robot vision tasks, or development of surgical robots for minimally invasive surgery.

Employability

This MSc offers students hands-on experience and transferrable skills as part of its coursework. A research project will give students the opportunity to apply their knowledge and develop career skills such as project management, public presentation and team working. A mock operating room at Charles Bell House and at UCL Here East enable practical understanding of ergonomics, human computer interaction and deployment into the operating room

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.

A minimum of an upper second-class Bachelor's degree in Computer Science and related fields is required. Undergraduate level knowledge in programming languages (such as Python or C++) is essential, and we expect this to be evidenced on your transcript. Knowledge of mathematical methods and introductory probability and statistics is also required. Applicants must show an interest in developing thinking and problem-solving skills.