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.
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.
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 leading universities worldwide.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014); 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).
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- Domestic 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.
- International 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. Students need to have an overall IELTS grade of 7.0 with a minimum of 6.5 in each of the subtests; TOEFL: Overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening; Cambridge Certificate of Proficiency in English: Overall score of 185 with 176 in all subtests; Cambridge Certificate of Advanced English: Overall score of 185 with 176 in all subtests; City & Guilds (Pitman Examination in International ESOL): Pass at Mastery level when achieved with a pass at Mastery level in the Pitman International Spoken test (ISESOL); Pearson Test of English (Academic): 69 overall, with a minimum of 62 in each Communicative Skill; Trinity College London, Integrated Skills in English (Trinity ISE) III: Successful completion of ISE III with ?merit? in all components; UCL Diploma in English for Academic Purposes: Overall mark of 70%, with at least 65% in each of the four subtests. UCL International Pre-Master's Courses: Overall mark of 70% with at least 65% in each of the four elements of the examination. Equivalent to 7.0 in IELTS; UCL Pre-sessional English Courses: Mark of 70%, with at least 65% in each of the subtests.
- IELTS score: 7
- TOEFL score: 100