A good second-class honours or above in computer science, electronic engineering, maths, physics or a related discipline. 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 (CBT) 237 or TOEFL (written test) 575.
Months of entry
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
Click here for more information.
Fees and funding
There are a number of sources of funding available for Masters students.
These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.
We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.
Queen Mary bursaries and scholarships
Qualification and course duration
Course contact details
- School of Electronic Engineering and Computer Science
- +44 (0)20 7882 7333