Physics and Engineering in Medicine: Medical Image Computing MSc

This programme stream is designed for students with a developed interest in the fundamental concepts and applications of computing in modern medicine. Students gain an understanding of medical imaging with advanced computational techniques to solve real-world clinical problems through lectures, problem-solving sessions, a research project and collaborative work.

Key Information

Modes and duration

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

Tuition Fees (2015/16)

£10,765 (FT)
£22,350 (FT)

Application deadlines

All applicants:
31 July 2015
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 2015/16 entry can be viewed on the UCL Current Students website.

Entry Requirements

Normally a minimum of a second-class UK Bachelor's degree in a relevant subject or an overseas qualification of an equivalent standard.

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

Students gain an understanding of the relatively new but growing area of medical image computing. In addition to studying core physics and engineering, students learn the principles and application of computer programming, image analysis, and computational modelling and scientific computing methods. The role of medical imaging for the diagnosis, treatment, and monitoring of disease is emphasised.

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

  • Interactions of Radiation with Matter
  • Imaging with Ionising Radiation
  • Imaging with Non-ionising Radiation
  • Clinical Practice
  • Programming Foundations of Medical Image Analysis
  • Information Processing for Medical Imaging
  • Image Processing


  • Students choose one of the following:
  • Image-directed Therapy and Analysis
  • Computational Modelling for Biomedical Imaging


All MSc students undertake an independent research project with a substantial computing content, which culminates in a written report of 10,000 words, a poster and an oral presesntation.

Teaching and Learning

The programme is delivered through a combination of lectures, demonstrations, practicals, hospital visits, and the 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 two-hour examination, coursework, 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 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 department has a recognised track record for producing excellent graduates who go on to hold leading roles in universities, companies and hospitals around the world.

Top career destinations for this degree

  • Research Associate, UCL (2011)
  • PhD in Medical Computing, Imperial College London (2010)
  • PhD in Mathematical Biology, University of Nottingham (2009)
  • Radiation Physicist, Pfizer Ltd (2011)
  • Scientist, Procter & Gamble (2011)


Postgraduate study within the department offers the chance to develop important skills and acquire new knowledge through involvement with a team of scientists or engineers working in a world-leading research group. Graduates complete their study having gained new scientific or engineering skills applied to solving problems at the leading edge of human endeavour. Skills associated with project management, effective communication and teamwork are also refined in this high-quality working environment.

Why study this degree at UCL?

UCL is internationally recognised as a leading academic and clinical centre for medical imaging and medical image computing. The UCL Centre for Medical Image Computing (CMIC) is one of the largest research groups internationally in the field and is widely acknowledged as an internationally leading centre of excellence. Combined with the extensive expertise of staff in the UCL Department of Medical Physics & Bioengineering, students on this programme receive comprehensive training in the latest methodologies and technologies from leaders in the field.

The department operates alongside the NHS department which provides the medical physics service for the UCL Hospitals Trust, as well as undertaking industrial contract research and development and technology transfer to industry.

Students have access to an exceptionally wide range of workshop, laboratory and clinical facilities in the department and associated hospitals. A large range of scientific equipment is available for research involving nuclear magnetic resonance, optics, acoustics, X-rays, radiation dosimetry, and implant development.

Student / staff ratios › 15 staff › 60 taught students › 110 research students

Department: Medical Physics and Biomedical Engineering

Degree reviews

Staff review

"UCL in itself, with its amazingly diversified biomedical research, is an endless source of ideal collaborators, most of which are world leading. There are by far more interesting projects than there is time to be able to carry them out."

Dr Alessandro Olivo

I am the module organiser for Imaging with Ionizing Radiation for our Physics and Engineering in Medicine MSc, which has a number of different streams. Like most academics in the department, I also offer a number of student projects for the same programme. I supervise quite a few PhD students, and I am one of the supervisors on the Medical and Biomedical Imaging Doctoral Training Programme.
Professor of Applied Physics

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 programme is aimed at students with a first degree in physics, computer science, engineering, or a closely related subject, but those with other backgrounds may apply and are considered on individual merit. Successful candidates are expected to have a strong interest in medical imaging, have studied mathematics at least to A-level, and understand basic concepts in computing.

Application deadlines

All applicants
31 July 2015

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 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.


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

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