Physics and Engineering in Medicine: Medical Image Computing MSc

Medical image computing is an exciting and rapidly growing field concerned with applying advanced computing techniques to obtain and analyse medical images and better understand, diagnose, and treat human diseases. It is a critical aspect of medical imaging - a field that continues to revolutionise modern medicine and healthcare.

Key Information

Modes and duration

  • Full-time: 1 year
  • Flexible: up to 5 years

Programme start date

September 2016

Tuition Fees (2016/17)

£11,090 (FT) £N/A (PT)
£23,020 (FT) £N/A (PT)

Application dates

All applicants
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma with fees set accordingly.
Fees note: Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. The tuition fee schedule for 2016/17 entry can be viewed on the UCL Current Students website.

Entry Requirements

Normally a minimum of an upper second-class UK Bachelor's degree or an overseas qualification of an equivalent standard in a physical or applied mathematical science subject, such as physics, engineering, computer science, or applied mathematics. Candidates with other backgrounds may apply and are considered on individual merit, but successful candidates must have studied mathematics and physics at least to A level standard (or equivalent) and be able to demonstrate a good understanding of basic concepts in computing.

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.

International students

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:

Degree Information

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.

Core Modules

  • 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.

Further information on modules and degree structure available on the department web site Physics and Engineering in Medicine: Medical Image Computing MSc


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 and Biomedical Engineering

Degree reviews

Staff review

"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 Barrat

Physics and Engineering in Medicine: Medical Image Computing MSc
Staff review

"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 Olivo

Physics 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.

Application deadlines

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
Together with essential academic requirements, your personal statement is your opportunity to address these questions and explain what motivates your interest in medical imaging and medical image computing.


  • Register interest in your chosen subjects
  • Receive notice of graduate open days, events and more
Register now

Life and learning

At UCL we're proud of our pioneering history, our distinguished present and our exciting future. UCL is a great place to be a student.

  • World-leading reputation
  • Extensive connections that benefit your study and career
  • The best and brightest staff and students from over 150 countries
Find out more