Course summary
As recent developments in computers and sensors make the generation, storage and processing of visual data easier, methods that enable a machine to analyse and understand images and videos become increasingly relevant. The advances in this field are behind Google's autonomous vehicles, Meta's image analysis technologies and car plate recognition systems. This programme is designed to train engineers to work in the analysis and interpretation of images and video.
- Undertake high-level training in programming languages, tools and methods necessary for the design and implementation of practical computer vision systems.
- Be taught by world-class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis.
- Work on cutting-edge research projects, gaining hands-on experience.
Modules
Please refer to our website.
Assessment method
Please refer to our website.
How to apply
International applicants
Please see: www.qmul.ac.uk/international-students
Entry requirements
A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.
English language requirements
All applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require Tier 4 immigration permission to enter the UK.
Queen Mary University of London: English Language Requirements
http://www.qmul.ac.uk/international/englishlanguagerequirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Please see: www.qmul.ac.uk/scholarships
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS