12 monthsProgramme duration
40,800 GBPTuition Fee/year
25 Jun, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
If you’re interested in understanding more about the underlying concepts of medical robotics and AI in healthcare, this Master’s is an excellent option for you.
Explore topics such as surgical data acquisition. Develop an understanding of the devices used to capture surgical data such as trackers, robots and imaging devices and explore the wider topic of medical device development.
The course also covers other 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 and AI.
Working in close collaboration with UCL’s renowned researchers, you’ll develop highly specialist expertise into how emerging technologies can be deployed in surgical environments and to improve healthcare.
You’ll have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s.
- Benefit from our national and international collaborations across the clinical, industrial and academic sectors. We have close links with many London hospitals, including University College London Hospital, Great Ormond St Hospital, Moorfields Eye Hospital, Royal National Orthopaedic Hospital, Royal Free Hospital, National Hospital for Neurology and Neurosurgery, Royal National ENT and Eastman Dental Hospital, and Whittington Hospital. We also work with organisations like the National Physical Laboratory, Institute of Nuclear Medicine, and Institute of Neurology. A wide range of MedTech companies have spun out of departmental research.
- Work within research groups, and across UCL departments, to develop your knowledge and skills.
- Build your networks further, and socialise, through clubs and societies at UCL, such as the UCL MedTech Society.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
If you’re interested in understanding more about the underlying concepts of medical robotics and AI in healthcare, this Master’s is an excellent option for you.
Explore topics such as surgical data acquisition. Develop an understanding of the devices used to capture surgical data such as trackers, robots and imaging devices and explore the wider topic of medical device development.
The course also covers other 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 and AI.
Working in close collaboration with UCL’s renowned researchers, you’ll develop highly specialist expertise into how emerging technologies can be deployed in surgical environments and to improve healthcare.
You’ll have regular opportunities to connect, collaborate and build professional contacts as part of your Master’s.
- Benefit from our national and international collaborations across the clinical, industrial and academic sectors. We have close links with many London hospitals, including University College London Hospital, Great Ormond St Hospital, Moorfields Eye Hospital, Royal National Orthopaedic Hospital, Royal Free Hospital, National Hospital for Neurology and Neurosurgery, Royal National ENT and Eastman Dental Hospital, and Whittington Hospital. We also work with organisations like the National Physical Laboratory, Institute of Nuclear Medicine, and Institute of Neurology. A wide range of MedTech companies have spun out of departmental research.
- Work within research groups, and across UCL departments, to develop your knowledge and skills.
- Build your networks further, and socialise, through clubs and societies at UCL, such as the UCL MedTech Society.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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