Computer Graphics Vision and Imaging

The MSc in Computer Graphics, Vision and Imaging at University College London is a comprehensive and cutting-edge program designed to equip students with the advanced skills and knowledge necessary to excel in the rapidly evolving fields of computer graphics, computer vision, and imaging technologies. This interdisciplinary course combines theoretical foundations with practical applications, enabling students to develop expertise in visual computing, image processing, rendering, and perception. Throughout the year, students will engage with core topics such as 3D computer graphics, image analysis, machine learning techniques for visual data, and human visual perception. The program is suitable for those seeking careers in research, industry, or academia within sectors like entertainment, robotics, healthcare imaging, virtual and augmented reality, and autonomous systems.

Delivered by leading researchers and practitioners at UCL, the program offers a stimulating environment that fosters innovation and critical thinking. Students benefit from state-of-the-art labs and facilities, participate in collaborative projects, and have opportunities to engage with industry partners. The curriculum emphasizes both theoretical understanding and practical implementation, ensuring graduates are capable of designing and developing advanced visual computing systems. In addition to coursework, students undertake a substantial research project, often in collaboration with industry or academic partners, which provides valuable experience in applying learned concepts to real-world problems.

The MSc is designed to be flexible, with options for elective modules allowing students to tailor their learning towards areas of particular interest such as virtual reality, 3D modelling, or image-based rendering. It provides a solid foundation for further research at the doctoral level or for entering specialized roles in technology-driven organizations. Graduates of the program emerge with a strong portfolio of technical skills, research experience, and a deep understanding of the intersection between visual perception, digital imaging, and computer graphics, preparing them for the demands of the modern digital landscape.

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

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.

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.

The MSc in Computer Graphics, Vision and Imaging at University College London offers a variety of financing options to support prospective students in their academic pursuits. Funding opportunities primarily include scholarships, bursaries, and other financial aid programs designed to make the program accessible to a diverse range of applicants. UCL provides several merit-based scholarships that are highly competitive and awarded based on academic excellence, research potential, and other achievements. These scholarships often cover partial or full tuition fees and sometimes include a maintenance stipend to support living costs throughout the duration of the course. Prospective students are encouraged to explore external funding sources, such as government-sponsored scholarships, research council grants, and industry sponsorships, which can supplement their financial planning.

In addition to scholarships, UCL participates in national and international financial aid schemes, including loans and bursaries that can be applied for through government agencies or private lenders. Students are advised to review the funding requirements and deadlines carefully and to prepare necessary documentation early in the application process. Some students may also qualify for part-time work opportunities within the university or nearby institutions, which can help offset living expenses. The UCL Careers Service provides resources and guidance on financial planning, employment options, and applying for funding. Furthermore, international students should investigate specific funding programs available for their home countries, as well as guidance on visa and work regulations that pertain to financial support during study. Overall, while the program itself does not automatically include financing, UCL offers numerous pathways and support systems to assist students in funding their education in computer graphics, vision, and imaging.

The MSc in Computer Graphics, Vision and Imaging at University College London is a comprehensive postgraduate program designed to provide students with an in-depth understanding of advanced topics in computer graphics, computer vision, and imaging technologies. The program aims to equip graduates with the technical skills and theoretical knowledge necessary to develop innovative solutions in fields such as entertainment, virtual reality, medical imaging, robotics, and autonomous systems. Throughout the course, students engage with a diverse curriculum that covers fundamental and emerging topics, including 3D modeling, rendering, visual perception, image processing, machine learning applied to vision and imaging, as well as human-computer interaction.

The program is structured to combine rigorous theoretical foundations with practical project work. Students have opportunities to apply their knowledge through coursework, individual and team projects, and potentially industry collaborations. Core modules typically include computer graphics algorithms, computer vision techniques, digital image processing, and research methods. Electives may allow students to tailor their learning toward specific interests, such as deep learning for vision, augmented reality, or visual effects. The program’s faculty includes internationally recognized researchers in computer graphics and vision, offering students access to cutting-edge knowledge and mentorship.

Facilities available to students include specialized laboratories equipped with high-performance computing resources, imaging hardware, and software tools tailored to research and development activities. UCL’s location in London provides advantages for students seeking internships and collaborations with leading tech companies, medical institutes, and entertainment sectors.

Graduates of this MSc program are well-prepared for careers in academia, research institutions, or industry sectors that require expertise in graphics, vision, and imaging. They may work as research scientists, software engineers, graphics programmers, or system developers. Additionally, some students choose to pursue further study by progressing onto PhD research, contributing to the advancement of technology and scientific understanding in these dynamic fields. Overall, the program combines a strong theoretical basis with practical skills development, fostering innovation and excellence in computer graphics, vision, and imaging disciplines.