Modes and duration
- Full-time: 1 year
- Flexible: up to 5 years
Programme start date
Tuition Fees (2016/17)
- £11,090 (FT) N/A (PT)
- £23,020 (FT) N/A (PT)
A minimum of an upper-second class UK Bachelor’s degree from a UK university or an overseas qualification of an equivalent standard in physics, engineering, computer science, mathematics, or other closely related discipline. Workplace knowledge and expertise are also considered. Applicants with a lower than upper-second class degree may be invited for a short online interview with programme tutors as part of their application process.
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: Standard
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:
This pathway aims to equip students with specialist skills and knowledge required to solve real-world problems in medical imaging and embark on a successful career in the rapidly growing medical imaging technology sector, working in industry, university research, or a hospital. The focus is on understanding and applying advanced computing techniques through problem-based learning, practical work, and a research project.
Students undertake modules to the value of 180 credits.
The programme consists of seven core modules (105 credits), one optional module (15 credits), and a research project (60 credits).
A Postgraduate Diploma is offered.
- Medical Imaging (Ionising)
- Magnetic Resonance Imaging & Biomedical Optics
- Ultrasound in Medicine
- Clinical Practice
- Programming Foundations of Medical Image Analysis
- Information Processing for Medical Imaging
- Image Processing
- Students choose one of the following:
- Computer-assisted and Therapy
- Computational Modelling for Biomedical Imaging
All MSc students undertake an independent research project with a substantial computing component (typically, software development drawing on real clinical data). The project is assessed by a written report of 10,000 words, a poster and an oral presentation.
Teaching and Learning
The programme is delivered through a combination of lectures, demonstrations, hands-on practical sessions, hospital visits, and an research project. Lecturers are drawn from UCL and from London teaching hospitals including UCL, St. Bartholomew's, and the Royal Free Hospital. Assessment is through examinations, coursework assignments, and the project dissertation.
Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
The has an excellent track record for producing skilled graduates who go on to careers in universities, companies and hospitals around the world.
Top career destinations for this degree
- Software Engineer, Toshiba Medical Systems, China (2015)
- Research Associate (Medical Software Development), UCL Centre for Medical Image Computing (2013)
- PhD Student, Imaging Sciences, King's College London (2012)
- Pre-development Engineer, Siemens Healthcare, UK (2012)
- Trainee Biomedical Engineer, TBS GB Telematic and Biomedical Services Ltd (2011)
Postgraduate study on this pathway offers the chance to develop highly transferable engineering and computing skills combined with specialist knowledge that are highly sought after by employers in the medical technology sector. In particular, the emphasis on real-world problem solving equips graduates with the skills and confidence to take up positions within a wide range of roles in leading organisations. In addition, graduates gain skills in project and time management - effective communication, and teamwork, which provide an excellent foundation for a productive career in industry, healthcare organisations, or academia.
Why study this degree at UCL?
UCL is widely recognised as an internationally leading academic and clinical centre for medical imaging and medical image computing, with one of the largest research activities in the world.
Much of the material in this programme is taught by leading experts in the field who are ideally placed to expose students to the latest technologies developed in their research. Students therefore have a unique opportunity to become familiar with state-of-the-art technologies for understanding, detecting, diagnosing, treating, and monitoring major diseases, such as cancer and dementia, as well as many exciting new clinical applications of medical imaging.
Student / staff ratios › 144 staff including 110 postdocs › 107 taught students › 135 research students
Department: Medical Physics & Biomedical Engineering
"Over the last century, several Nobel prizes have been won for discoveries in medical imaging, and the possibilities for this field are limitless. UCL is a world leading university for research in this field, underpinned by academic excellence in both engineering and medical sciences, and a very strong culture of interdisciplinary science where engineers, scientists, and clinicians work closely. Working as a medical image computing specialist enables graduates with computing and engineering skills to make a vital contribution to transforming healthcare by devising new medical imaging technologies that address the world's most pressing health problems."
Dean BarratPhysics and Engineering in Medicine: Medical Image Computing MSc
"UCL in itself, with its amazingly diversified biomedical research, is an endless source of ideal collaborators, most of whom are world leading. There are by fay more interesting projects than there is time to be able to carry them out."
Dr Alessandro OlivoPhysics and Engineering in Medicine MSc
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.
Who can apply?
This pathway is ideal for students who are considering a career in academic or industrial research, or working in the medical technology sector. It is also appropriate for professionals working in the field as part of continued professional development.
- All applicants
- 29 July 2016
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 Image Computing at graduate level
- why you want to study Medical Image Computing at UCL
- what particularly attracts you to this programme
- how your academic and professional background meet the demands and requirements of this programme
- what you aspire to professionally after completing this degree course