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.
Modes and duration
Tuition fees (2021/22)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.
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.
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
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. International Preparation Courses
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
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.
Students undertake modules to the value of 180 credits.
The MSc consists of four compulsory modules (60 credits), four optional modules (60 credits), and a research project with a dissertation (60 credits).
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
- Research Project (MPHY0035)
- Robotic Systems Engineering (COMP0127)
- Medical Robotics and Devices
- Artificial Intelligence for Surgery and Intervention (MPHY0043)
- Surgical Data Science
Students choose 4 modules (60 credits) from the below list.
- Robot Control Theory and Systems (COMP0128)
- Research Software Engineering with Python (MPHY0021)
- Clinical Practice (MPHY0027)
- Medical Device Enterprise Scenario (MPHY0033)
- Robotic Sensing, Manipulation and Interaction (COMP0129)
- Robot Vision and Navigation (COMP0130)
- Computer Assisted Surgery and Therapy (MPHY0026)
- Machine Learning for Medical Imaging (MPHY0041)
- Further information about these modules is available on the department website.
All students undertake an independent research project which culminates in a dissertation of 10,000 words (60 credits).
Teaching and learning
The programme will be delivered through a combination of formal lectures, seminars, laboratories, workshop sessions and independent or group project work.
The modules of this MSc Programme will be assessed by a series of methods including exams, coursework, exercises, presentations, individual and/or group projects and a research dissertation.
It is expected that students will provide their own laptop. Robotics modules, for example, require a laptop with a minimum of 2GHz dual core processor, 2GB RAM, 30-40 GB of hard-drive space, an internet connection, and the capability of running Ubuntu 18.06 and ROS Melodic.
Students will be required to print and bind two copies of their research project at approximately £25-£50.
Students will be required to pay for their travel costs to teaching or project locations.
In addition, some research projects may require a DBS check. This can cost students between £25 and £44. For the latest details, please check the government website.
For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
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.
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.
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.
Why study this degree at UCL?
The MSc programme is offered by UCL's Department of Medical Physics & Biomedical Engineering: a hub for interdisciplinary research and collaborations between computer scientists, physicists, mechanical engineers, biomedical scientists and medical practitioners across UCL and its affiliated teaching hospitals. Students joining this Department benefit from its network of internationally leading research, learning directly from the research staff in this close-knit community.
Department: Medical Physics & Biomedical Engineering
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
This programme requires two references. Further information regarding references can be found in our How to apply section.
There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at: ucl.ac.uk/prospective-students/graduate/taught/application.
Who can apply?
Suitable applicants will have a background in computer science or related field, looking to deepen their knowledge and specialise in applying it to healthcare. This MSc is fitting for applicants who enjoy problem-solving or innovating and are interested in redefining what is possible in healthcare with the goal of improving patient lives through medical robotics and AI.
- All applicants
- 31 May 2021
This programme is now full and we are currently not accepting applications for September 2021 entry.
For more information see our Applications page.Apply now
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Medical Robotics and Artificial Intelligence at graduate level
- why you want to study Medical Robotics and Artificial Intelligence at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.
Successful applicants should show an interest in developing thinking and problem-solving skills.
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