Taught course

Computer Vision

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

Entry requirements

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. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.

For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).

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. You will be taught by world- class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis. Aside from your lectures, you will be working on cutting-edge, live research projects, gaining hands-on experience.

Information for international students

Click here for more information.

Fees and funding

UK students
http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/121411.html
International students
http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/121411.html

Click here for more information.

Qualification and course duration

MSc

part time
24 months
flexible
N/A months
distance learning
N/A months
full time
12 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