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The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'FinTech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
A strong upper second-class honours degree (65% or higher) or international equivalent in Finance, Economics, Mathematics, Engineering, Physics or Computing. OR If your degree subject is not listed above, you must have evidence of an upper second class honours degree which includes three units of mathematics (see Maths qualification requirements) with 60% or above (or international equivalent) in each unit. Examples of acceptable units include: Advanced Maths (introductory maths does not count towards maths unit requirements), Algebra, Calculus, Financial Maths, Maths, Pure Maths, Business Mathematics, Business Statistics, Computer Science (including programming/algorithms), Data Mining/Data Science/ Data Analytics, Derivatives, Econometrics, Financial Modelling, Financial Statement Analysis, Investment Analysis, Probability, Quantitative Methods, Quantitative Research Methods, Statistics/Statistical Methods/Statistical Analysis. IELTS 6.5 overall with 7.0 in reading and listening, and no score below 6.0.
Career in traditional investment managementcorporate financeor banking firms
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University of Bristol
