There is an urgent need to analyse and interpret the vast amount of visual information that is produced at an ever increasing pace. Images in Facebook, videos in YouTube, visual data in the web that need to indexed and accessed are just a few examples. On the other hand, cameras on smartphones, autonomous vehicles and surveillance cameras, require methodologies for interpretation of the scene, detection of people, recognition of objects, actions and human activities. Research in the area of Computer Vision is reaching a point where practical systems, such as cars that detect pedestrians, are finding the way to development. And at the same time, it is starting to show some success in addressing the hugely challenging problem of general recognition of visual information.
This MSc is intended to respond to a growing skills shortage in research and industry for talents with a high level of training in the analysis and interpretation of images and video. The MSc covers both low-level image processing and high-level interpretation of videos using state-of-the-art machine learning methodologies. Moreover, it offers high-level training in programming languages, tools and methods that are necessary for the design and implementation of practical computer vision systems.
The unique set of skills and knowledge developed in this programme include: theoretical knowledge and practical application of methods in Computer Vision and Image Processing, programming skills in Matlab or C/C++, data collection and analysis techniques, logical and critical thinking, and communication and presentation skills.
The programme includes an individual project supervised by one of the leading academics in Computer Vision. Industrial collaborations or commercially focused projects are encouraged and facilitated.
The MSc in Computer Vision offers two MSc fee waivers on a competitive basis.
The programme offers two fee waivers for our PhD programme for two top ranked MSc students.
International Science and Engineering Excellence Awards for the value of either £2,000 or £5,000 per year are available to reward academic achievements, and help to attract the brightest and best students from overseas.
For questions of administrative nature, please contact email@example.com.
For questions about the academic content of the MSc Compuer Vision, please contact firstname.lastname@example.org, quoting "MScVision" as the subject of your email.
StructureModules in bold are compulsory
(Maximum of 4 modules to be taken)
(Maximum of 4 modules to be taken)
Please note modules are subject to change
An upper second class degree is normally required, usually in electronic engineering, computer science, maths or a related discipline. Students with a good lower second class degree may be considered on an individual basis.
You should have good knowledge of computer programming, for example using C/C++, Python, Matlab or Java.
For international students we require English language qualifications IELTS 6.5, TOEFL score 92 (Internet Based test).
Students from outside of the UK help form a global community here at Queen Mary. For detailed country specific entry requirements please visit the International section of our website. If your first language is not English, you must provide evidence of your English language proficiency. You can find details on our English language entry requirements here: www.qmul.ac.uk/international/languagerequirements
If you do not meet language or scholarly requirements it might be possible for you to undertake foundation or pre-sessional programmes that will prepare you for the masters programme. For more information, please contact the Admissions Office.
Your skills and knowledge will 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 (eg, Google, Microsoft), motion capture (eg, Vicon), media production (eg, Sony, Technicolor, Disney), medical imaging, security and defence (eg, Qinetiq), robotics, and industries in related areas that require good knowledge of machine learning, signal processing and programming.
A number of our academics have common research projects with industrial partners such as Disney, BBC, Technicolor and ST Microelectronics, and take on consultancy work with industry.
Our staff draws on this industry experience to inform and enrich their teaching, bringing theoretical subjects to life. In addition, several of the final year projects are offered in collaboration with research institutes or industrial partners (http://www.bmva.org/visioncompanies).
You will also be ideally placed to pursue further research, including continuing onto PhD studies. We will award two PhD fee waivers for top ranked students in this MSc who desire to continue into our PhD programme.