Computer Graphics, Vision and Imaging MSc

London, Bloomsbury

Position yourself at the cutting edge of vision and imaging with this one-of-a-kind Master’s programme. The Computer Graphics, Vision and Imaging MSc takes a 360-degree approach to imagery, ranging from interpreting real world images through computer systems, to the use of virtual and augmented reality. Taught at UCL, world renowned for computer science research, this is an exciting environment to become an expert in the field.

UK students International students
Study mode
Full-time
UK tuition fees (2024/25)
£19,300
Overseas tuition fees (2024/25)
£37,500
Duration
1 calendar year
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 05 Apr 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Entry requirements

A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a relevant subject such as computer science, mathematics, electrical engineering, or physical sciences. Additionally, applicants must have suitable mathematics and computer programming skills. Relevant work experience may also be considered.

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

This programme is suitable for international students on a Student visa – study must be full-time, face-to-face, starting September.

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

Used in everything from games and movies to autonomous driving, computer graphics, vision and imaging is a stimulating and relevant niche of computer science. 

Gaining crucial skills in this field – taught by world leading experts in both research and industry practice – is an incredible way to become career-ready for the world of computer graphics, special effects and many other areas.

On this programme, you will learn from leading experts with an outstanding reputation in the field, most notably in computer graphics, geometry processing, computer vision and virtual environments. 

The syllabus provides a core grounding in machine vision, image processing, computer graphics and machine learning for visual computing. Optional modules allow you to gain specialist skills too, such as robot vision and navigation, virtual environments, or computational modelling for biomedical imaging. 

The individual project is an exceptional opportunity to put your newly acquired skills into practice, while focusing on a particular area of interest. You will also enjoy access to our world unique facilities, which includes everything from 3D scanners and prototypes to 5G motion capture and virtual reality tools.

Designed to create talented, knowledgeable and creative practitioners, this Master’s will enable you to pursue a range of possible careers related to imagery, graphics and vision.
 

Who this course is for

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.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities.

UCL Computer Science is recognised as a world leader in teaching and research. The department was ranked 1st in England and 2nd in the UK for research power in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2021).You will learn from leading experts at the forefront of computer science innovation.

Students benefit from access to state-of-the-art facilities, both for learning and for project work. This includes 3D scanners and prototypes, virtual reality tools, and robotics.

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).

This programme brings together a unique blend of subjects, creating comprehensive practitioners in visual fields. Many lecturers on the programme team also have industry experience in the field, giving you a greater grasp of the practical application of the skills you learn. 

The programme team takes an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships, and place a high value on our extensive range of industrial collaborations. There are opportunities to gain hands-on experience with industry through the Department’s Industry Exchange Network (IXN).

The foundation of your career

Your highly integrated understanding of a range of aspects of graphics, imaging and vision will make you a huge asset to teams across a breadth of industries. 

Graduates from this programme work in the gaming and movie industries, as well as for large technology firms, healthcare and education providers, burgeoning companies in virtual reality, and the wider metaverse. Some of our graduates have gone on to work for Disney, Sony and Siemens.

Employability

The programme prepares you to enter a visual computing-related industry and in roles in any other sector requiring a solid engineering background. Graduates will acquire the skills to deliver scalable solutions to complex problems involving the generation as well as the machine-understanding of visual data. Particular sectors include interactive applications like (3D) computer games, (VR) simulation for healthcare or education and image understanding in automation, automotive industries and 3D recognition.

Working closely with top supervisors on your research project and dissertation will be the opportunity to develop skills for independent research, self-critical evaluation of your results and discovery of new facts or models. These will prepare you for leading jobs in research and development, as well as to open up the opportunity for further doctoral studies. 

Networking

UCL is proud to support innovation and link our students and research directly to real-world business applications. From internships to solving complex problems with commercial partners, UCL Engineering has a collaborative, innovative spirit at its core.

As a student and later as a graduate, you will have access to a UCL Engineering careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.

Entrepreneurial minds thrive at UCL. For example, UCL’s IDEALondon was the first innovation centre led by a university in London, and incubates companies post-seed to reach technical and business milestones. Our academic and industrial networks provide a safe and supportive environment to grow a company.

Teaching and learning

The programme’s core curriculum is typically delivered through a combination of lectures, tutorials, and lab classes, as well as directed and self-directed learning supported by teaching materials and resources, published through each module’s online virtual learning environment. Each module employs a teaching strategy that aligns with and supports its intended learning outcomes.that aligns with and supports its intended learning outcomes.

You will be assessed through a range of methods across the programme, which will vary depending on any optional or elective module choices. The programme’s core curriculum is typically assessed by methods including coursework, lab work, individual and group projects, class tests, written examinations, oral assessments, and, in all cases, culminating in a final research project/ dissertation.

Contact time takes various forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).

Each module has a credit value that indicates the total notional learning hours a learner will spend to achieve its learning outcomes. One credit is considered equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.

The contact time for each of your 15 credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters and will have the opportunity to access additional support via regular office hours with module leaders and programme directors.

Your research project/dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.

Modules

The Computer Graphics, Vision and Imaging MSc is a one-year programme.

In term 1, you will study topics in image processing, computer graphics, machine vision, and machine learning for visual computing.

In term 2, you will choose from a range of specialist optional topics, which may include virtual environments, inverse problems in imaging, robot vision, navigation and perception, and medical imaging. You will also begin preparation for your final research project/dissertation.

In term 3, you will primarily focus on your final research project/dissertation and any examinations that take place in the main examination period.

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Computer Graphics, Vision and Imaging.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support and Wellbeing team.

Online - Open day

Graduate Open Events: Department of Computer Science

Join us for a live online information session to hear from Computer Science staff. We will cover areas such as the general admission process, careers support, and industry links/placements. There will also be an opportunity for you to ask staff and current students any questions you may have. Two sessions will run for this event. These sessions are the same and are repeated to cater to people in different time zones.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £19,300
Tuition fees (2024/25) £37,500

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

All full time students are required to pay a fee deposit of £2,000 for this programme. All part-time students are required to pay a fee deposit of £1,000.

Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Funding your studies

For more information about funding opportunities for UCL Computer Science taught postgraduate programmes, please see the department's scholarships webpage.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

UCL East London Scholarship

Deadline: 20 June 2024
Value: Tuition fees plus £15,700 stipend ()
Criteria Based on financial need
Eligibility: UK

UCL Friends & Alumni Association scholarship for Machine Learning

Deadline: 3 June 2024
Value: $20,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

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.

There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

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.

Due to competition for places on this programme, no late applications will be considered. Students with visa requirements or applying for scholarships are advised to apply early.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions? Get in touch

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