This course will equip you with a sound understanding of the theory and practice of applied Artificial Intelligence (AI) systems through pathways. Streams include core AI and Fintech pathways which have been designed to meet industry needs. As a computing conversion course, it is assumed that you are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in your undergraduate courses or in work. The course begins by creating a foundation in programming and mathematics, upon which you will build the expertise in several key areas of AI oriented to the pathway, going from first Python code and basic algebra, right through to Deep Learning. The Fintech pathway complements learners with a finance background by applying AI techniques to risk management and portfolio analysis, giving graduates a competitive edge in the field. Core AI pathway learners will cover data visualisation with editorial design and AI pipelines and impact evaluation. A strong focus on technology monitoring and ethics will be taught in a way to suit learners from all backgrounds; rather than through specific case studies which only suit certain types of learners. Ethics and horizon scanning frameworks are introduced to apply to any industry. The Master's project will have an industrial route, should you wish to work on an applied project with a corporate partner, and there will be a route on graduation to undertake a professional placement or go on to a doctoral research programme.
Fees are available on request.
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