Taught course

Computer Vision with Industrial Experience

Institution
Queen Mary, University of London · Computer Science
Qualifications
MSc

Entry requirements

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.

Months of entry

September

Course content

What if your smartphone could recognise that it was you before switching on, and could sense your mood by recognising your facial expressions? What if you could use a real thumbs-up for "liking" things on Facebook? How can you play games on an Xbox using only your body gestures? How can you equip cars with in-vehicle technology that could automatically read road signs? These are just some of the fascinating questions that you will strive to answer on this programme.

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.

Information for international students

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Fees and funding

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Qualification and course duration

MSc

full time
24 months

Course contact details

Name
School of Electronic Engineering and Computer Science
Email
eecs-msc-enquiries@qmul.ac.uk
Phone
+44 (0)20 7882 7333