The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.
Modes and duration
Tuition fees (2017/18)
- £11,800 (FT)
- £24,610 (FT)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Current Students website.
A minimum of an upper second-class UK Bachelor's degree in a relevant discipline, or an overseas qualification of an equivalent standard in computer science, mathematics, electrical engineering or the physical sciences is usually required. Candidates are expected to have suitable mathematics and computer programming skills. Relevant work experience may also be taken into account.
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: Good
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:
About this degree
Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).
- Computer Graphics (15 credits)
- Image Processing (15 credits)
- Mathematical Methods, Algorithmics and Implementations (15 credits)
- Research Methods and Reading (15 credits)
Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.
- Group One Options (15 to 30 credits)
- Machine Vision (15 credits)
- Virtual Environments (15 credits)
- Group Two Options (30 to 45 credits)
- Acquisition and Processing of 3D Geometry (15 credits)
- Computational Modelling for Biomedical Imaging (15 credits)
- Computational Photography and Capture (15 credits)
- Geometry of Images (15 credits)
- Graphical Models (15 credits)
- Information Processing in Medical Imaging (15 credits)
- Introduction to Machine Learning (15 credits)
- Inverse Problems in Imaging (15 credits)
- Numerical Optimisation (15 credits)
- Robotic Sensing, Manipulation and Interaction (15 credits)
- Robotic Vision and Navigation (15 credits)
Please note: the availability and delivery of modules may vary, based on your selected options.
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.
Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.
Four MSc Scholarships, worth £4000 each, are made available by the Department of Computer Science to UK/EU offer-holders with a record of excellent academic achievement. The closing date is 30 June 2017. For more information, please see the department pages.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at MIT, Princeton University, and Eth Zurich.
Top career destinations for this degree
- Senior Post-Doctoral Research Associate, University of Oxford
- Software Engineer, Sengtian Software
- Graduate Software Engineer, ARM
- IT Officer, Nalys
- MSc in Computer Games and Entertainment, Goldsmiths, University of London
UCL Computer Science was one of the top-rated departments in the country, according to the UK Government's most recent research assessment exercise, and our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2012–2014 graduating cohorts six months after graduation.
Why study this degree at UCL?
UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.
Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).
Department: Computer Science
Student / staff numbers
› 200 staff
including 120 postdocs
› 650 taught students
› 180 research students
Staff/student numbers information correct as of 1 August 2017.
Research Excellence Framework (REF)
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (world-leading) or 3* (internationally excellent)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
What our students and staff say
"It is amazing to be in a position to regularly interact and collaborate with the brightest minds of the current generation and together help to shape the future, constructively and positively."
Prof Niloy MitraMaster's, PhD
Reader in Geometric Modeling and Computer Graphics
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 MSc is suitable for students wishing to develop the skills necessary for a career in computer graphics, 3D acquisition and fabrication, medical imaging, robotics, special effects in games and film, computer vision, image and video databases and many related applications.
- All applicants
- 17 June 2017
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 Computer Graphics, Vision and Imaging at graduate level
- why you want to study Computer Graphics, Vision and Imaging at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- what programming experience you have
- 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 to this programme will be required to pay a tuition fee deposit dependent on their mode of study and fee status as given below:
- UK/EU full-time: £2,000
- UK/EU part-time: £1,000
- Overseas full-time: £2,000
- Overseas part-time: £1,000
Further details can be found on the Fees and funding page.