e-Brochure

PDF version of Computer Graphics, Vision and Imaging MSc

Contact details

Mrs Tracy Williams

Email: advancedmsc-admissions@cs.ucl.ac.uk

Tel: +44 (0)20 7679 7287

Fees and funding

UK/EU 2013/14:

£10,250 (FT)

Overseas 2013/14:

£21,000 (FT)

Full details of funding opportunities can be found on the UCL Scholarships website

More information

Prospectus Entry

Computer Science

Key facts

Research Assessment Rating

80% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)

The programme information on this page relates to 2013 entry. 2014 content to appear here shortly. 

Computer Graphics, Vision and Imaging MSc

The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, virtual reality, machine vision and imaging technology from world-leading experts, and enables students to specialise in any of these areas and gain an essential grounding in the others.

Degree summary

What will I learn?

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 appropriate algorithms and methods for new problems and applications.

Why should I study this degree at UCL?

UCL Computer Science contains some of the world's leading researchers in computer vision, virtual environments and computer graphics.

Research activities include 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).

UCL Computer Science was one of the top rated departments in the country according to the UK government's recent research assessment exercise, and our graduates have some of the highest employment rates of any university in the UK.

See subject website for more information:

Degree structure

Availability: Full-time 1 year

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).

A Postgraduate Diploma (120 credits) is offered.

A Postgraduate Certificate (60 credits) is offered.

Core Modules

  • Mathematical Methods, Algorithmics and Implementation
  • Image Processing
  • Computer Graphics
  • Research Methods

Options

  • 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

Dissertation/report

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.

Further details available on subject website:

Entry and application

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.

For overseas equivalencies see the relevant country page.

How to apply

You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps

The deadline for applications is 2 August 2013. 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 and special effects, medical imaging, robotics, TV and film, gaming, vision engineering, image and video databases, surveillance and many related applications. It provides a foundation for further PhD study or industrial research.

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.

Career

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.

Find out more about London graduates' careers by visiting the Careers Group (University of London) website:


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