伦敦大学学院Financial Technology专业 项目网站

Financial Technology

英国 公立 商科

项目背景

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更新时间:2024-01-10

专业排名49

大学伦敦大学学院

开学时间9月

课程学制1年

学费44400.00/GBP

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 technology is changing financial services, technology skills in blockchain, and machine learning applications in finance. As you progress through the programme, you will develop quantitative finance skills and apply technology in the domain.Having an interest in financial technology, new innovative financial products and intellectual curiosity are desirable qualities. This programme is designed to appeal to those with backgrounds from science, technology, engineering and mathematics (STEM) subjects who with to pursue a career in technology-led finance and banking or to pursue further study or a career in academia.

推荐顾问

世界排名

2020年

49

2019年

51

2018年

50

2017年

51

语言要求

类型
雅思
托福
PTE
Listen
7
23
76
Speak
7
23
76
Read
7
25
76
Write
7
25
76
总分
7
100
76

学术要求

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

课程设置

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