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爱丁堡大学财务,技术和政策专业

Finance, Technology and Policy

专业排名

学制

1年

学费

41800.00英镑/年

雅思

7

主页 排名

专业介绍

Market functions hold significant societal impacts and are vital for the development of transparent, informationally efficient and fair financial systems.

How well financial markets operate influences real-world issues, including job creation and credit approval.

Technology has fuelled the rise of ultra-fast high-tech, opaque trading venues and expanded access to financial services across the globe.

While there are positive aspects to these changes, the emergence of new technology-driven para

移民相关

移民专业:否

就业前景

可从事的工作:#产品开发人员/经理 #交易/投资台和后台办公室 #市场和消费者研究 #监管机构/政府各部委和部门

如何申请

个人陈述:We will be looking for evidence in your personal statement that you have thought carefully about what you can bring to the programme and what impact you feel it will have on your future career. Therefore, please ensure that you address the following issues in your statement to help us select the students who will benefit most from the programme: 1 What skills, qualities and experiences have prepared you to undertake this programme? 2 What value do you think you can add to the learning community as part of an internationally diverse group? 3 What impact do you hope to make in your future career, and how will this programme contribute to your aspirations? Your personal statement should be around 500 words in length.

推荐信:可选

申请费:60

申请截止日期:10/12 12/7 2/8 6/24 6/7

测试申请录取成功率

采用最科学的人工智能算法,已为23127位学生申请到dream school,成功率96.33%。
免费测试

入学要求

专业领域:相关专业如金融,经济,工程,或信息技术。 

先修科目:至少1门统计分析科目+1门编程科目。

语言要求:

雅思总分:7

雅思听力:6

雅思阅读:6

雅思阅读:6

雅思口语:6

雅思写作:6

托福总分:100

托福听力:20

托福写作:20

托福口语:20

托福阅读:20

世界排名 数据来源: QS世界排名

QS排名

专业课程

Compulsory couses 必修课 Python Programming:Python编程 Financial Valuation:财务评估 Financial Markets and Investment:金融市场与投资 Principles of Data Analytics:数据分析原理 FinTech Infrastructures and Innovation:金融科技基础设施与创新 Modern Financial Market Microstructure:现代金融市场微观结构 Introductory Applied Machine Learning (Semester 2):入门应用机器学习 (第二学期) Dissertation (MSc Finance, Technology and Policy):学位论文 (金融、技术和政策硕士) Optional courses 选修课 Investment Management:投资管理 SAS Programming for Financial Analysis:财务分析的SAS编程 Blockchain, Governance and Policy:区块链、治理和政策 Financial Engineering:金融工程 Financial Machine Learning:金融机器学习 Pattern Recognition in Financial Data:财务数据中的模式识别 Financial Machine Learning II (Practical):金融机器学习II (实用) Technology Entrepreneurship and Commercialisation:技术创业和商业化 Venture Capital and Private Equity:风险资本和私募股权 Responsible Investing:负责任的投资 Economic Principles of Blockchain and Cryptocurrencies:区块链和加密货币的经济原理 The Human Factor: Working with Users:人为因素: 与用户合作 Ethics of Artificial Intelligence:人工智能伦理

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