Medical Robotics and Artificial Intelligence MSc

London, Bloomsbury

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.

UK students International students
Study mode
Full-time
UK tuition fees (2023/24)
£16,100
Overseas tuition fees (2023/24)
£32,100
Duration
1 calendar year
Programme starts
September 2023
Applications accepted
All applicants: 17 Oct 2022 – 31 Mar 2023

Applications open

Entry requirements

A minimum of an upper second-class Bachelor's degree in Computer Science and related fields is required. Undergraduate standard 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.

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. International Preparation Courses

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

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

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 Intelligence (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.

Who this course is for

Suitable applicants will have a background in computer science, engineering 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.

What this course will give you

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.

The foundation of your career

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.

Employability

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.

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.

Modules

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 are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Medical Robotics and Artificial Intelligence.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support & Wellbeing team.

Online - Open day

Graduate Open Events: Physics and Engineering in Medicine by Distance Learning MSc

When you study for our postgraduate degrees, you’ll learn from world-leading practitioners, gain the experience to help tackle major healthcare challenges and participate in projects with a real-world impact, such as developing cutting-edge methods for diagnosing, treating or managing medical conditions. Join our virtual Q&A where you’ll have the opportunity to meet the programme team and ask them questions about our postgraduate degrees and future career opportunities for MPBE graduates.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2023/24) £16,100
Tuition fees (2023/24) £32,100

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

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.

Funding your studies

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Next steps

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 Application fees.

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.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2023-2024

UCL is regulated by the Office for Students.