Queen Mary, University of London

Course Introduction

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.

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.

Course Additional Entry

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.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £16,450  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £8,200  Academic year. First year home fees