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Intelligent Imaging Systems (specialist) – (M.Sc.)

Location: London / United Kingdom / View location on map ▾ Hide location on map ▴
Duration: 12 months Start Date: September
Educational Form:
  • Taught
Education Variants:
  • Parttime
  • Fulltime
Languages: English 
-0.05628,51.51982

Location of Queen Mary, University of London

This MSc, built upon the research of our Vision and Interaction group, specialises in practical programming, statistical and signal-processing techniques for the development of intelligent vision and image analysis systems.

Intelligent imaging is a rapidly evolving field that includes security and surveillance applications, biometrics, computer and biological vision, pattern recognition, content-based image retrieval, 3D modelling, image compression, quality control and other applications of industrial and social interest.

This programme will teach you the skills needed to develop state-of-the-art algorithms for computer vision and image processing, advanced methods for pattern recognition and 3D reconstruction, and a range of signal-processing techniques. The emphasis is on teaching fundamental algorithms of wide applicability. You will also gain a range of transferable skills, including C++ programming, essential team and research skills, numerical and statistical techniques, and analytical and design skills. You will have hands-on experience developing a range of intelligent imaging applications.

You will be able to develop image-processing and computer vision systems for real world problems independently.

Career opportunities The programme will prepare you for both industry and research study in intelligent imaging. Typical jobs after graduation include computer vision software engineer, product research and development, product line automation engineer, medical image systems developer, automated monitoring systems developer, computer surveillance developer and biometrics implementation engineer.


Contents

Core modules:

* C++ for Image Processing
* Computer Vision and Neural Networks
* Techniques in Computer Vision
* Research Methods (double module)
* MSc Project

Study options include:

* Advanced Database Systems and Technologies
* Advanced Program Design
* Algorithms and Complexity
* Computability
* Computational Genomics
* Design for Human Interaction
* Distributed Systems and Security
* Entrepreneurship in Information Technology
* Foundations of Information Retrieval
* Interactive Systems Design
* Multimedia Systems
* Software Risk Assessment
* The Semantic Web
* Special Topics in Information Retrieval
* Specification and Verification
* XML and Structured Information

Please note that module availability is subject to change.

Assessment The Research Methods modules are assessed through coursework alone. All other modules are examined through a combination of coursework and written examinations taken in May/June. To obtain an MSc, students must gain passes in six of the eight modules taken with an overall average of 50 per cent. In addition to the above, the MSc requires that a satisfactory individual project be completed. MSc students who do not pass the written examinations are only allowed to attempt the project after passing resit examinations the following May.

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Requirements

You should possess a good Honours degree (minimum 2.1) with a substantial computer science component (at least half) or equivalent industrial experience. You should also have good programming skills for undertaking the practical elements of the programme.

For international students we require English language qualifications IELTS 6.5, TOEFL (CBT) 237 or TOEFL (written test) 575.

Additional Requirements

Minimal degree required: Bachelor's degree
Minimal amount of work experience Not specified

Language Proficiency

Cambridge English: Advanced (CAE): Grade B (Score: 75)

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