Computer Graphics, Vision and Imaging MSc
Postgraduate
In London
Description
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Type
Postgraduate
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Location
London
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Duration
1 Year
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.
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About this course
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.
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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Subjects
- Geometry
- Graphics
- Imaging
- Computer Graphics
- Imaging MSc
- Vision and Imaging MSc
- Image processing
- Algorithmics
- Virtual Environments
- Geometry of Images
Course programme
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- Computer Graphics (15 credits)
- Image Processing (15 credits)
- Mathematical Methods, Algorithmics and Implementations (15 credits)
- Research Methods and Reading (15 credits)
Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.
- Group One Options (15 to 30 credits)
- Machine Vision (15 credits)
- Virtual Environments (15 credits)
- Group Two Options (30 to 45 credits)
- Acquisition and Processing of 3D Geometry (15 credits)
- Computational Modelling for Biomedical Imaging (15 credits)
- Computational Photography and Capture (15 credits)
- Geometry of Images (15 credits)
- Graphical Models (15 credits)
- Information Processing in Medical Imaging (15 credits)
- Introduction to Machine Learning (15 credits)
- Inverse Problems in Imaging (15 credits)
- Numerical Optimisation (15 credits)
- Robotic Sensing, Manipulation and Interaction (15 credits)
- Robotic Vision and Navigation (15 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
Dissertation/reportAll 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 learningThe 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.
Additional information
Computer Graphics, Vision and Imaging MSc
