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.
Programme overview
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, Christos Merkouris and Prashant Butani?
Module overview
Semester 1
Compulsory modules
- Image Processing and Vision
Optional modules
- Object-Oriented Design and C++
- The Internet of Things
- Speech & Audio Processing & Coding
Semester 2
Compulsory modules
- Advanced Signal Processing
- Computer Vision and Pattern Recognition
- Dissertation
Optional modules
- Artificial Intelligence and AI Programming
- Image and Video Compression
- Mobile Applications and Web Services
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).
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.
Entry requirements
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.
How to apply
For more information on the course and how to apply please visit the course website.
General enquiries:
+44 (0)1483 681 681
Admissions enquiries:
+44 (0)1483 682 222
admissions@surrey.ac.uk