Medical Robotics and Artificial Intelligence MSc

About this degree

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.

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.

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.

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

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 teamwork. A mock operating room at Charles Bell House and at UCL Here East enable a practical understanding of ergonomics, human-computer interaction and deployment into the operating room.