Queen Mary University of London

Course Introduction

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.

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.

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time

Qualifications required:

  • 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.