This MSc programme is offered by Surrey's Department of Electronic Engineering (http://www.surrey.ac.uk/eee/
), recognised for internationally leading research in multimedia signal processing and artificial intelligence. Our course provides you with up-to-date training in emerging technologies, and is highly valued by industry.
If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, then our programme will suit you.
Computer vision is a fascinating and fast-moving field: the rate at which visual data (images and videos) grow on the internet and home computers is unprecedented and incomparable to any other type of data.
Computer vision is a key development area for creative industries, rapidly growing in importance and visibility to our global economy - and demand continues to rise for experts who will create solutions for generating, managing and analysing visual data.
Our MSc degree provides in-depth training for students interested in a career in industry, as well as research-oriented institutions focused on image and video analysis. State-of-the-art computer vision and machine learning approaches for image and video analysis are included in the course as well as low-level image processing methods.
We also offer training in programming languages, software tools and methods for the design and implementation of computer vision systems.
Why not read about past and present student experiences of our electronic engineering programmes, including Christopher Lord (http://www.surrey.ac.uk/features/my-surrey-experience-%E2%80%93-christopher-lord-beng-hons-aerospace-engineering
), Christos Merkouris (https://www.surrey.ac.uk/features/my-surrey-experience-%E2%80%93-christos-merkouris-msc-space-technology-and-planetary-exploration
) and Prashant Butani (http://www.surrey.ac.uk/discover/my-surrey-experience-prashant-butani-msc-satellite-communications-engineering
Dissertation and projects
The summer dissertation projects provide an opportunity for you to apply material learnt during the previous two semesters and to develop a detailed knowledge of a particular area.
The dissertation projects have strong industrial relevance by drawing on EU- or industry-funded research and development carried out in the Centre for Vision, Speech and Signal Processing (CVSSP) (http://www.surrey.ac.uk/cvssp/
They will cover various applications areas, including 3D broadcast production, biometrics, video archive restoration, security and surveillance systems, image and video database retrieval, speech recognition, machine audio perception, biomedical image processing and robotics.
The projects may be based at the university or in industry. There are also opportunities for carrying out the project work at collaborating academic institutions in the EU under the Erasmus programme.
TEACHING AND ASSESSMENT
Our taught programme structure provides a judicious mix of theoretical and applied topics delivered over two semesters through lectures, assignments and laboratory exercises. The assessment of these taught modules is through formal examinations at the end of Semesters 1 and 2.
The pass mark is set at 50 per cent for each module, representing a combination of the formal examination and any associated coursework or lab marks. An overall average, aggregated over all of the assessed modules, in excess of 70 per cent achieves a Pass with Distinction.
Projects are selected during the first semester from a broad list and are primarily undertaken between June and September. Following the spring examinations, usually staggered over May and June, you will concentrate on your MSc project.
You will usually meet with your project supervisor either weekly or fortnightly to discuss your project. There is a mid-term assessment based at the university where you will orally present your project to an assessment panel. This provides you with feedback on your progress and suggestions for ongoing development.
You will produce a formal MSc dissertation and will also be assessed at a viva voce examination in late August or early September.
FACILITIES, EQUIPMENT AND SUPPORT
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).
SKILLS AND KNOWLEDGE
The study of Computer Vision at this level develops a unique set of skills and knowledge, including:
- Theoretical knowledge and practical application of methods in computer vision
- Programming skills in Matlab or C/C++
- Data collection and analysis techniques
- Logical and critical thinking
- Communication and presentation skills
Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video.
This includes industries in directly related fields such as:
- Multimedia indexing and retrieval (Google, Microsoft, Apple)
- Motion capture (Foundry)
- Media production (BBC, Foundry)
- Medical Imaging (Siemens)
- Security and Defence (BAE, EADS, Qinetiq)
- Robotics (SSTL)
and industries in related areas that require good knowledge of machine learning, signal processing and programming.
Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.
Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies. Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.
Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include BAE Systems, BT, Philips, Hewlett Packard, Logica, Lucent Technologies, the BBC, Motorola, NEC Technologies, Nokia, Nortel Networks and Red Hat.
We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
- Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
- A number of our academics offer MSc projects in collaboration with our industrial partners
This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.
Our MSc in Computer Vision is awaiting accreditation by the IET (http://www.theiet.org/
Our Admissions Policy (http://www.surrey.ac.uk/apply/policies/postgraduate-admissions-policy
) provides the basis for admissions practice across the University and gives a framework for how we encourage, consider applications and admit students.
Further information for applicants - http://www.surrey.ac.uk/apply/postgraduate
An undergraduate degree in electronic engineering, computer science, maths, physics or a related discipline. Computer programming skills C/C++, Python, Matlab or Java. Our minimum entry level is a 2.2 from a good UK university, or overseas equivalent. Relevant industrial experience will also be considered.