国际学生入学条件
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. 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. IELTS Academic: total 7.0 with at least 6.0 in each component. TOEFL-iBT (including Home Edition): total 100 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:PTE Academic: total 70 with at least 59 in each component.
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
市场发挥的功能对于开发透明,信息有效且公平的金融系统至关重要。市场功能,例如流动性和价格发现,对社会产生重大影响。技术推动了超高速高科技,不透明交易场所的兴起,并在全球范围内扩大了获得金融服务的机会。尽管这些变化有积极的方面,但新技术驱动的范式的出现也增加了人们对金融体系的完整性和公平性的担忧。同时,金融服务和市场的技术转型步伐导致在快速发展的金融与技术交汇处出现知识鸿沟。<br> <br>我们的金融,技术与政策理学硕士课程是作为对知识差距的跨学科反应,并作为评估和辩论技术对金融服务业和金融市场影响的平台
The operation of financial markets and the delivery of financial services impact a variety of real-world issues including job creation and credit approval. Our vocationally minded MSc in Finance, Technology & Policy addresses the knowledge gap created by the pace of technological transformation in financial services and markets.<br><br>Learning outcomes<br>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.<br><br>By the end of the programme, you will be able to:<br><br>demonstrate an advanced knowledge of key theoretical finance and economic concepts underpinning financial markets<br>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<br>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)<br>conduct valuation of financial instruments and projects within relevant regulatory contexts<br>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<br>demonstrate an appreciation of the role played by policies in shaping financial services delivery and financial markets<br>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.<br>demonstrate an appreciation of the social dimensions of technology use in financial markets.
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