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伦敦大学学院Financial Technology专业

Financial Technology

专业排名

49

学制

1年

学费

47100.00英镑/年

雅思

7

主页 排名

专业介绍

The MSc Financial Technology at UCL focuses on developing technology literate financial services professionals. The programme emphasises the systematic understanding of new digital business models in financial services, how innovation through technology is changing business practices, quantitative finance skills and the application of emerging technologies to financial services.As a student on the MSc Financial Technology, you will learn about new digital business models, how innovation through

移民相关

移民专业:否

就业前景

可从事的工作:由于这是一个新课程,目前还没有校友信息。预计金融服务公司、金融科技公司和采用新兴技术的机构对学生的需求量会很大,特别是考虑到该领域的技能缺口相当大且增长迅速。

如何申请

个人陈述:why you want to study it at graduate level what do you consider to be the major challenges in this field today what particularly attracts you to this programme where you would like to go professionally with your degree why you want to study it at UCL how your personal, academic and professional background meets the demands of a challenging academic environment at UCL

推荐信:2

申请费:90

申请截止日期:44651

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:计算机科学,数学,统计学,物理,工程或类似的quantitative专业。 

先修科目:线性代数+统计+概率+计算机编程如Python, C++ or Matlab(建议但不强制)。

语言要求:

雅思总分:7

雅思听力:7

雅思阅读:7

雅思阅读:7

雅思口语:7

雅思写作:7

托福总分:100

托福听力:30

托福写作:30

托福口语:23

托福阅读:25

世界排名 数据来源: QS世界排名

49

QS排名

专业课程

Compulsory modules:必修模块 Blockchain Technologies: 区块链技术 Digital Finance: 数字金融 Innovation and Strategy in Finance: 金融创新与战略 MSc Financial Technology Project: MSc金融技术项目 Machine Learning with Applications in Finance: 机器学习与金融应用 Optional modules: 可选模块 Database Fundamentals: 数据库基础 Operational Risk Measurement for Financial Institutions: 金融机构操作风险度量 Financial Engineering: 金融工程 Software Engineering and Product Management in Financial Technology: 金融技术中的软件工程与产品管理 Entrepreneurship Theory and Practice: 创业理论与实践 Data driven Modelling of Financial Markets: 数据驱动的金融市场建模 Applied Computational Finance: 应用计算金融 Networks and Systemic Risk: 网络与系统风险 Algorithmic Trading: 算法交易 Financial Market Modelling and Analysis: 金融市场建模与分析 Advanced Machine Learning in Finance: 高级机器学习金融 Policy and Regulation for Financial Technology: 金融科技政策与监管

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