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1 Year On Campus Masters Program
University College LondonThe MSc Medical Robotics and Artificial Intelligence at University College London trains students to combine robotics, AI and medical-device science for surgical and healthcare applications. It suits students with backgrounds in engineering, computer science, physics or related fields who wish to work on cutting-edge MedTech, surgical robotics or AI-driven medical systems.
Curriculum Structure:
In the taught portion of the programme, students study core modules like Robotic Systems Engineering, Medical Robotics and Devices, Surgical Data Science, and Artificial Intelligence for Surgery and Intervention, where they learn robotics hardware, medical-device design, surgical data acquisition and AI methods for surgery. Optional modules such as Machine Learning in Medical Imaging, Robot Vision and Navigation, Robotic Sensing, Manipulation and Interaction, or Computer-Assisted Surgery and Therapy allow students to specialise in imaging, vision, autonomy or clinical-device applications. From March to September, students complete a substantial Research Project, under supervision, applying robotics and AI techniques to medical or surgical research — combining their learned skills into an independent, industry-relevant project.
Focus areas: “Medical Robotics, Surgical AI, Data-Driven Surgery, Surgical Data Science, Robot Vision & Navigation, Medical Device Design”
Learning outcomes: “Design and develop medical robots and devices; apply AI and data-science techniques to surgical and medical data; integrate robotics, sensing and AI in healthcare applications; plan and execute an independent MedTech research project.”
Professional alignment (accreditation): The degree is aligned with demands in healthcare technology, medical-device development and surgical robotics, preparing graduates for roles in MedTech firms, research hospitals, biomedical engineering and healthcare-AI companies.
Reputation (employability rankings): UCL is globally recognized for engineering and medical-technology research; this MSc draws on that strength so graduates are well positioned for competitive careers in medical robotics, AI-healthcare, research and development.
Students gain practical skills through hands-on projects in UCL's world-class medical robotics laboratories and surgical suites, applying AI and robotics techniques to real clinical challenges. This applied learning is central to the curriculum:
Facilities: Access to the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) and UCL Medical Physics and Biomedical Engineering labs.
Software: Training in Python, C++, and ROS with key AI and robotics libraries.
Clinical Projects: Hands-on work with surgical robots and medical imaging systems.
Research Project: An individual dissertation conducted within UCL's medical robotics research environment.
Clinical Exposure: Observation and projects in clinical settings at partner hospitals.
Interdisciplinary Training: Collaboration between engineering, computer science, and medical disciplines.
Graduates of UCL's MSc Medical Robotics and Artificial Intelligence develop advanced skills in robotics, machine learning, medical imaging, and surgical data analysis to create innovative healthcare technologies such as surgical robots and AI-assisted diagnosis. Hands-on research projects and collaboration with world-leading experts prepare alumni for high-demand roles advancing medical technology and improving patient outcomes. Typical job roles: medical robotics engineer, AI healthcare specialist, research scientist, clinical technology consultant.
University services: UCL Careers offers CV workshops, interview practice, networking events with MedTech companies, and employer fairs.
Employment stats/salary: Graduates find roles in MedTech start-ups, global healthcare companies, and academia; competitive salaries in UK healthcare tech.
University–industry partnerships: Collaborations with UCL hospitals, MedTech firms, and interdisciplinary research institutes.
Long-term accreditation value: UCL's global leadership in medicine and AI ranks it among top institutions for healthcare innovation.
Graduation outcomes: Positions in healthcare tech R&D, clinical engineering, AI innovation, and academic research worldwide.
Further Academic Progression: Pursue PhD in medical robotics or AI at UCL, building on MSc dissertation research and interdisciplinary collaborations.
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. Relevant work experience may also be considered. Additionally, applicants must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.India A Bachelor's degree with a minimum overall CGPA of 7.5/10, 6.0/8.0, 5.5/7.0, 4.0/6.0, 3.0/4.0 or 60% where a GPA scale is not used. The overall mark required is dependent on the ranking of the institution at which the degree has been takenUSA- Bachelor's degree with a final CGPA of 3.3/4.0IELTS- Overall score of 7.0 and a minimum of 6.5 in each componentTOEFL- Overall score of 96 with 24/30 in reading and writing and 22/30 in speaking and listeningMedical Robotics EngineerSurgical AI SpecialistHealthcare Technology InnovatorClinical AI DeveloperBiomedical Robotics ResearcherMedical Device AI EngineerSurgical Data Scientist
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