StudyQA — Master: Computer Vision and Image Analysis

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Description Contents Requirements

Computer vision and image analysis is a rapidly evolving field with a wide range of applications. These include security and surveillance; biomedical analysis and biometrics measurement; pattern recognition; content-based image retrieval; 3D modelling; traffic monitoring and control; automated inspection and quality control; robot assembly; analysis of remotely sensed images; and other applications of industrial and social interest.

This course provides you with the techniques and tools you need to build a complete computer vision system. Starting with different imaging devices and acquisition techniques, you build on your knowledge to understand and use the relevant image processing, feature extraction and pattern recognition algorithms. It is ideal if you are already working in industry and wish to advance your skills in this constantly evolving area.

What will you study?

You cover all three elements of computer vision systems through the course's core modules:

* image acquisition (Imaging Devices module);
* image processing (Digital Imaging module); and
* image interpretation (Pattern Recognition and Neural Networks module).

You also gain the tools and techniques you need to enhance your knowledge of the numerical analysis techniques used for all three elements.

There is an emphasis on advanced techniques from numerical analysis, applied mathematics (linear algebra, probability and statistics), industrial computer programming and software engineering for computer vision systems.

Core modules

* Imaging Devices
* Digital Imaging
* Scientific Programming
* Pattern Recognition and Neural Networks
* Research Methods
* Project/Dissertation (MSc only)

Option modules (choose three)

* Broadband and Mobile Networks
* Building E-Business
* Component-Based Software Engineering
* Corporate Data and Database Management
* Developing Object-Orientated Solutions
* Digital Communications
* Digital Signal Processing
* Digital Signal Processors
* Electronic Commerce Technologies
* Enterprise Networking
* Geographical Information Fundamentals
* Internet Map Services
* Internet Wireless Networks
* IT and Entrepreneurship
* Knowledge Management
* Location-Based Services, Applications and Technologies
* Multimedia Communications
* Network Design and Management
* Network Operating Systems
* Network Security
* Programming in Java
* Projects and Risk Management
* Requirements Engineering and Management
* Secure and Dependable Computing
* Software Engineering Tools
* Software Quality Assurance
* Spatial Information Analysis and Modelling
* Strategic Information Systems for E-Business
* TCP/IP Networks
* Usability Engineering
* Visualisation and Image Processing
* Web Development in Java
* Wireless Communications

* Good honours degree or equivalent in a relevant subject, or substantial work experience. * International students must have an IELTS score of 6.5 or equivalent English Language Requirements CAE score: (read more) Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever. 75 (Grade B)