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This is a one year full time or two year part-time postgraduate course designed to provide graduate engineers with specialist understanding of modern computational products and systems. There is no aspect of modern life that is not now altered by information processing engines. Examples include digital assistants (speech recognition and synthesis), automotive (remote sensing and electronic control systems), the economy (quantitative automated trading), entertainment (audiovisual streaming and cinema visual effects), health (medical imaging), science (computational biology/geography/chemistry/photography) and the digital humanities. The principles enabling the design of this new wave of products are embodied in the discipline of Information Engineering. This course allows graduates to
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Admission is normally restricted to graduates who have achieved an upper second class honours degree (2.1), or better, in engineering, science, computing, statistics, mathematics or a related discipline. Well-qualified candidates or industry professionals from other numerate disciplines who have sufficient knowledge of computational aspects of engineering and science, may also be considered for admissions purposes subject to the decision of the Dean of Graduate Studies. We will also accept official MOOC certification from reputed online sources e.g. Coursera, eDX, the IET, the IEEE in relevant numerate topics as appropriate demonstration of pre-requisite knowledge.
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