MSc Finance, Technology and Policy
關於課程
Learning outcomes
As well as delivering a solid understanding of key theoretical finance and economic concepts, this Fintech MSc encourages potential future leaders to analyse and challenge the accepted financial setup.
By the end of the programme, you will be able to:
demonstrate an advanced knowledge of key theoretical finance and economic concepts underpinning financial markets
critically compare, contrast and evaluate the different machine learning techniques in terms of their applicability to solving problems in finance - demonstrating this by using appropriate software to apply techniques to a given set of data
have an in-depth understanding of the relationships existing among the key global financial systems (for example, how bond yields dictate investment in equity and its derivatives)
conduct valuation of financial instruments and projects within relevant regulatory contexts
trade financial instruments on exchanges/trading platforms by using state of the art software packages and harnessing the power of relevant real-time financial data
demonstrate an appreciation of the role played by policies in shaping financial services delivery and financial markets
critically evaluate markets by being able to competently present arguments on the criticisms of the current set up and offer the basis for the development of alternative technology-based markets and financial services products.
demonstrate an appreciation of the social dimensions of technology use in financial markets.
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開始日期及學費
如何申請
Entry requirements for 愛丁堡大學
A UK first-class or 2:1 honours degree in one of the subjects below, or an equivalent overseas qualification. An undergraduate honours degree in finance, economics, engineering or informatics is normally required. You will need to have taken and passed at least one course with significant statistical analysis and/or programming as part of your undergraduate degree or be able to demonstrate that you have relevant work experience in the use of statistical and/or programming software packages. Candidates with a first class or 2:1 honours degree in other disciplines will be considered on an individual basis if some level of finance/economics/informatics content formed part of the degree and you can demonstrate a high level of quantitative ability through your degree results. Candidates with a first class or 2:1 honours degree in an unrelated subject area but have relevant work experience will be considered on an individual basis. Candidates with a first class or 2:1 honours degree in an unrelated subject area but who have relevant professional qualifications will be given due consideration on an individual basis. If you are a mature candidate with significant finance and tech industry experience or with relevant professional qualifications, you will be given due consideration on an individual basis.
IELTS: total 7.0 (at least 6.0 in each module)
TOEFL-iBT: total 100 (at least 20 in each module)
English language requirements
托福(TOEFL iBT)總分: 100.0
最後申請期限:
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