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Computer Graphics, Vision and Imaging - MSc

Course Description

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.

Degree information

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).

Core modules
-Mathematical Methods, Algorithmics and Implementation
-Image Processing
-Computer Graphics
-Research Methods

Optional modules
-Machine Vision
-Graphical Models
-Virtual Environments
-Geometry of Images
-Advanced Modelling, Rendering and Animation
-Inverse Problems in Imaging
-Computation Modelling for Biomedical Imaging
-Computational Photography and Capture
-Acquisition and Processing of 3D Geometry

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.


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.

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).

Visit the Computer Graphics, Vision and Imaging - MSc page on the University College London website for more details!

Student Profiles

UCL Graduate Support Bursary - 20+ Awards

UCL is making 93 individual bursary awards available. Each bursary will cover the full tuition fee cost for the programme and provide £10,000 in maintenance funding per year.

Value of Scholarship(s)



The scheme is aimed at supporting traditionally under-represented groups to progress on to graduate study at UCL. All applicants will be required to demonstrate that their annual household income is currently under £42,611. This scheme is open to prospective students domiciled in the UK (that is, UK is your country of "ordinary residence”) who have "Home" tuition fee status.

Application Procedure

This initiative is funded through the HEFCE Postgraduate Support Scheme. The UCL Graduate Support Bursary scheme forms part of UCL’s wider initiative to support graduate Master’s students.

Further Information



Brown Family Bursary - No. of awards TBC

Selection criteria:
The bursary will be awarded based on financial need only as determined by the Student Funding Office.Value, Benefits and Duration:
- The value of the bursary is £15,000. The payment is to be applied to tuition fees in the first instance, with any remainder being paid to the successful applicant towards maintenance in termly instalments.
- The bursary is tenable for one year only.
- The bursary may not be held alongside other tuition fee only awards.

Value of Scholarship(s)



Applicants must be:
- prospective full-time UK Master's students who are undertaking a one-year programme of study in the Faculties of the Built Environment, Engineering Sciences or Mathematical & Physical Sciences (BEAMS) in 2015/16
- currently holding a first-class Bachelor's degree; and
- in financial need.

Application Procedure

See http://www.ucl.ac.uk/prospective-students/scholarships/graduate/UK-EU-Master/uclalumniandfriends

Further Information


Entry Requirements

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.

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