伦敦大学学院计算金融学专业 项目网站

Computational Finance

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 Computational Finance at UCL provides students with advanced knowledge of computational methods in finance, which is a prerequisite for a successful career in the financial industry within 'quant' teams. Quants (quantitative analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers.As a student on the MSc Computational Finance, you will learn advanced quantitative, modelling and programming skills, which are essential for quant roles in trading research, regulation, and risk. This applied taught postgraduate programme is distinctive in that it provides a combination of finance, mathematics, statistics, and computer science.

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
6.5
20
75
Speak
6.5
20
75
Read
6.5
24
75
Write
6.5
24
75
总分
7
100
76

学术要求

quantitative类专业如计算机科学,数学,统计,物理,工程等+本科阶段含线性代数多元变量微积分及统计学科目

课程设置

Compulsory modules:必修模块 Machine Learning with Applications in Finance: 机器学习与金融应用 Numerical Methods for Finance: 金融数值方法 Data Science: 数据科学 Financial Engineering: 金融工程 MSc Computational Finance Project: MSc计算金融项目 Optional modules: 可选模块 Applied Computational Finance: 应用计算金融 Operational Risk Measurement for Financial Institutions: 金融机构操作风险度量 Probability Theory and Stochastic Processes: 概率论和随机过程 Networks and Systemic Risk: 网络和系统风险 Market Microstructure: 市场微观结构 Algorithmic Trading: 算法交易 Financial Market Modelling and Analysis: 金融市场建模和分析 Financial Institutions and Markets: 金融机构和市场 Advanced Machine Learning in Finance: 金融高级机器学习 Blockchain Technologies: 区块链技术 Market Risk and Portfolio Theory: 市场风险和投资组合理论

申请案例

学生姓名:熊**

毕业学校:诺丁汉大学

本科专业:会计金融

基本背景: 三年级/GPA86.3/100/雅思8

学生姓名:何**

毕业学校:谢菲大学

本科专业:会计金融

基本背景: 三年级/GPA86.3/100/雅思8