Queen Mary University of London

Queen Mary University of London

Computer Vision

This programme is intended to respond to a growing skills shortage in research and industry for engineers with a high level of training in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation using state-of-the-art machine learning methodologies. In addition, it offers high-level training in programming languages, tools and methods that are necessary for the design and implementation of practical computer vision systems.

Entry requirements

A 2nd Class Honours or above in computer science, electronic engineering, mathematics, physics or a related discipline. Applicants should have good knowledge of computer programming, for example using C/C++, Python, Matlab or Java. English language qualifications IELTS 6.5, TOEFL (CBT) 237 or TOEFL (written test) 575.

Course modules

Modules include: Computer vision and neural networks; machine learning; advanced transform methods; computer graphics; C++ for image processing; computer vision systems; foundations for information retrieval; artificial intelligence; high performance computing; project.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2016 GBP 8,200 per Year 1 (England) 1 years
MSc Full-time September 2016 GBP 16,450 per Year 1 (International) 1 years
MSc Full-time September 2016 GBP 8,200 per Year 1 (Northern Ireland) 1 years
MSc Full-time September 2016 GBP 8,200 per Year 1 (Scotland) 1 years
MSc Full-time September 2016 GBP 8,200 per Year 1 (Wales) 1 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Mile End Tower Hamlets E1 4NS South East

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Key information

Contact: 
Admissions
Telephone number: 
020 7882 5511