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Vision, Image And Signal Processing MSc-Diploma

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  • Entry requirements
    Entry Requirements A first or second class honours degree in a suitable subject with a numerate background. Equivalent overseas qualifications will also be considered. Applicants for whom English is not their first language and who do not already hold a degree in which the teaching was in English must satisfy the university minimum requirements for competence in English. These are: TOEFL 213 points (550 points on the old scale); IELTS at grade 6.5, or; Cambridge Proficiency Certificate of English grade C.
  • Academic Title
    Vision, Image And Signal Processing MSc/Diploma
  • Course description
    Duration

    One year (MSc), 9 months (Diploma)

    Overview

    In recent years, the amount of digital image information to be stored, processed and distributed has grown dramatically. This trend is boosted by the increasing use of multi-media content for the internet, the advent of satellite television, and the generalisation of the use of digital images, in video surveillance, biomedical and e-health systems, and remote sensing to list but a few. This creates new, pressing challenges, and automated management tools are key to enable the organisation, mining and processing of these important knowledge resources.

    The breadth of relevant specialised disciplines (image and signal processing, artificial intelligence, statistical data analysis), and the broad range of applications are reflected in this cutting-edge formation. The degree is designed to equip students from various core disciplines, with a comprehensive set of tools, theory and skills that form the basis of Image and Signal Processing and Computer Vision. They are given ample opportunities to develop expertise and experience, including exposure to the world-wide network of industrial and academic collaborators of Heriot Watt researchers in Vision, Image and Signal Processing.

    Digital information and images are everywhere, and their exploitation and management is a pressing need for many industries in the "knowledge based economy". The integration of key skills and tools at post-graduate level, and the emphasis on hands-on experience, will provide graduates with a unique blend of expertise and know-how suitable for solving problems at the design and application level. It makes them very attractive to a variety of industrial and research based organisations, in sectors ranging from telecoms, e-health, defence, to off-shore and manufacturing.

    The MSc and Diploma can be taken either full time or part time. Both full and part-time students start their course in October and complete the taught modules by April. Successful completion of these modules is followed by a dissertation project for MSc students and a shorter project for diploma students. Research projects can be university- or industry- based, giving students the opportunity to develop specific skills to enhance their employability.

    Core Modules

        * Software Engineering 1
        * Digital Signal Processing
        * Data Mining and Machine Learning
        * Research Methods Critical Analysis and Project Planning
        * Image Processing
        * Project Phase 1
        * Software Engineering 2
        * Numerical Computation and Statistics
        * MSc Project

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