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1 Years On Campus Masters Program
University College LondonUCL’s MSc Medical Robotics and Artificial Intelligence is a cutting-edge interdisciplinary program designed to equip students with the technical and clinical knowledge needed to innovate at the intersection of robotics, AI, and healthcare technology. The curriculum focuses on developing intelligent robotic systems for surgery, diagnostics, and rehabilitation, drawing upon UCL’s world-class research in robotics, computer vision, and machine learning.
Students benefit from research-led teaching, hands-on exposure to medical robotics, and direct engagement with clinicians and healthcare innovators. The programme also includes practical work on real-world systems and the integration of AI algorithms into surgical and diagnostic devices, preparing students for impactful careers in both industry and academia.
Course Overview
Core: MSc Research Project, Robotic Systems Engineering, Medical Robotics and Devices, Surgical Data Science, Artificial Intelligence for Surgery and Intervention
Optional: Computer-Assisted Surgey and Theory, Clinical Practice, Medical Device Enterprise Scenario, Machine Learning in Medical Imaging, MRI-guided Devices, Research Software Engineering with Python, Robot Vision and Navigation, Robotic Sensing, Manipulation and Interaction
Teaching & Learning:
Lectures, lab-based sessions, seminars, and group work
Emphasis on problem-solving and prototyping through hands-on learning
Assessment:
Programming-based coursework, technical reports, written exams, and final project
Projects aligned with real clinical workflows and NHS partners
Immersive learning through UCL’s robotics labs and innovation centres
Hands-on programming, system design, and algorithm implementation
Career support via UCL Careers for healthcare innovation and PhD pathways
Graduates are well-prepared for roles in surgical robotics, AI-driven diagnostics, and biomedical R&D
Ideal foundation for PhD study or academic research in robotics and healthcare AI
Access to UCL’s hospital networks and translational research hubs
UCL Careers provides tailored guidance, employer engagement, and start-up support
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 standardTOEFL iBT/ Special Home Edition: Overall score of 96 with 24/30 in reading and writing and 22/30 in speaking and listening. TOEFL iBT MyBestScore is not acceptedIELTS: Overall score of 7.0 and a minimum of 6.5 in each component. IELTS Academic Online accepted. One Skill Retake not acceptedYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.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.Various funding opportunities available at UCLMedical Device DesignHealthcare TechnologyClinical EngineeringResearchRegulatory AffairsBiomaterials EngineeringMedical ImagingRehabilitation EngineeringBiotechnologyPharmaceutical EngineeringTissue EngineeringNeuroengineeringHealthcare Consulting AI Developer in HealthcareSurgical Technology Specialist
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