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Computer Vision (MSc/ PGDip/ PGCert)

Course Description

This exciting MSc builds on Brookes' world-leading research in Computer Vision. The course is responsive to industry trends and provides a thorough understanding of applied computer vision - exploring both practical and theoretical elements.

Applications of computer vision can be found all around us. In robotics it is used to make robots identify and handle objects. In cinematography it is used to capture actors' movements, which are then combined with computer generated graphics to create characters such as Gollum in Lord of the Rings. In medicine, medical imaging is very important for CAT and MRI scans to identify diseases and for research. In surveillance, facial recognition and motion recognition are used to identify and track people.

Tablets and smart phones have computer vision apps, and web applications contain methods to categorise and identify people, objects and places. All these different applications make use of the methods designed for computer vision to make us more comfortable, healthier, safer and entertained.

See the website http://www.brookes.ac.uk/courses/postgraduate/computer-vision/

Why choose this course?

- You will benefit greatly from the cutting-edge research being done by the department’s world-leading computer vision research group which has won numerous international prizes and awards for the quality of its work and has excellent links with world-class companies such as Sony and Microsoft.

- You will have access to excellent facilities, including a motion capture room, robotics kits, and industry standard computing facilities.

- Links forged between the taught programme and the research group should enable students on the taught programme to produce research papers, and so enhance their career prospects.

- You will have the opportunity to put the skills you have gained into practice if you choose to undertake our 1 year optional placement

- Oxford’s location at the heart of the UK’s high-tech business community means we have established links with many key companies in the region, and have collaborated on world-leading research activities. These have fed into our taught programmes and provided opportunities for student project work.

Teaching and learning

Lectures provide a theoretical basis, while the practical sessions are used to strengthen your understanding by active involvement. Coursework and projects form the basis for continuous assessment. These methods have been developed to provide the varied experience that our students require, including the opportunity to discuss your work directly with the lecturers.

Many of the modules are enriched by the teaching staff’s personal research expertise. There are also visiting lecturers from research organisations and industry. The methods of assessment include examination and coursework, reflecting the development of academic content from the more practical aspects to the more conceptual.

Specialist facilities

Our labs are equipped with industry-standard equipment and software tools. This enables students to develop skills of immediate relevance to industry needs while also providing a sound practical basis that enhances their understanding of theoretical concepts. Also available is access to robotic, surveillance and motion capture equipment.

How this course helps you develop

The focus on using industry standard tools to solve practical and industrially relevant problems, and using those problems to teach the theoretical concepts ensures that students have the opportunity to acquire skills which will not just equip them for today's computing industry, but for a lifelong career in the computing industry.

Students on the MSc course who undertake a placement will have the opportunity to put into practice in a business environment, the skills they have acquired in the taught part of the programme as well as gaining valuable experience for their CVs.


Our MSc students come from all over the world and graduate to follow careers in technical, business-related and creative roles, for example as developers, engineers, managers or consultants. Graduates from the new MSc Computer Vision may expect to be able to find employment within various industries that use computer vision applications, such as in robotics, entertainment, surveillance and internet companies. Particularly able and interested students may be able to continue their studies of computer vision to obtain a PhD.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

Research highlights

Research topics range from model driven system design and empirical software engineering to digital forensics and computer vision. Staff and students are involved in collaborative projects supported by the EPSRC, the EU, the DTI, and several major UK companies.

The Computing and Communication Technologies (CCT) Dept has a world class reputation for research in the field of Computer Vision (CV). The CV research group has won numerous international prizes and awards for the quality of its work and has excellent links with world-class companies such as Sony and Microsoft.

Visit the Computer Vision (MSc/ PGDip/ PGCert) page on the Oxford Brookes University website for more details!

Entry Requirements

A-level mathematics (grade C or above) or equivalent. Normally a first degree equivalent to at least a British lower second class bachelor's degree in a computing-related subject in which good programming skills have been developed. Applicants whose first degree is not in computing but who have worked in a related industry and have obtained good relevant experience and programming skills can also be considered. For entry to the Postgraduate Certificate Research Project you should provide evidence of experience in research and study methods at an appropriate level.

Course Fees

Home / EU: Full-time £5,480, Part-time £2,790; International: Full-time £13,730 Part-time £4,120

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