Taught course

Medical Robotics and Artificial Intelligence

Institution
UCL - University College London · Medical Physics and Biomedical Engineering
Qualifications
MSc

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Entry requirements

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.

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.

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

Pre-Master's and Pre-sessional English

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

Months of entry

September

Course content

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.

The MSc programme is offered by UCL's Department of Medical Physics and 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.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Assessment

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.

Course contact details

Phone
+44 (0) 20 3370 1214