MasterIN.it

Computer Vision MSc Queen Mary University of London

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

Contacts Website

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

Aims

This programme will:

  • Give you experience of working on cutting-edge, live research projects, gaining hands-on experience.
  • Provide you with the skills and knowledge that will prepare you for a career either in industry or in further research.
  • Teach you the theoretical knowledge and practical application of methods in Computer Vision and Image Processing.
  • Give you programming skills in Matlab or C/C++.
  • School you in sophisticated data collection and analysis techniques.
QMUL offers a range of scholarships and bursaries. Please visit the area Postgraduate - Funding & Support of our website for up-to-date information
Cost of the master: Not declared
Scholarships available
QMUL Careers Office provides careers information, guidance and support for all students and graduates.

  • Book and/or database of graduates
  • Multimedia resources: links/e-books
  • Start-up support and mentoring
  • International opportunities
  • Companies presentations
  • Careerday
  • Support in CV writing
  • Orientation seminars
  • Job hunting tecniques
  • Interview preparation
Request more information from:
Queen Mary University of London

        Computer Vision MSc

              Puoi anche scrivere un messaggio:

                * required fields
                Privacy
                  Location / Dates
                  • Other editions
                  • London - United Kingdom
                  Queen Mary University of London: An introduction

                  Queen Mary University of London: An introduction

                  A Day in the Life of Queen Mary

                  A Day in the Life of Queen Mary

                  Social stream

                  Provenance Students Worldwide:
                  Detail of origin:
                  Europe
                  30%
                  10%
                  25%
                  25%
                  10%
                  United Kingdom
                  15%
                  60%
                  5%
                  %
                  20%
                  Gender:
                  45%
                  55%
                  Job Experience:
                  YES60%
                  NO40%
                  Age of participants:

                  • Under 25

                    60%

                  • 26 - 30

                    25%

                  • 31 - 35

                    10%

                  • Over 35

                    5%
                  Total:
                  1370
                  Foreigners:
                  30%
                  Profession Teaching Staff:
                  5%
                  University professors
                  85%
                  Researchers/lecturers/visiting professors
                  10%
                  Other
                  * The data could be related to the School and not to the Master