伦敦国王学院计算金融专业 项目网站

Computational Finance

英国 公立 商科

项目背景

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更新时间:2024-01-15

专业排名51

大学伦敦国王学院

开学时间9月

课程学制1年

学费37368.00/GBP

专业介绍

The Computational Finance MSc will introduce students to the computational methods that are widely used by practitioners and financial institutions in today’s markets. This course will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto- currencies.

推荐顾问

世界排名

2020年

51

2019年

101

2018年

101

2017年

101

语言要求

类型
雅思
托福
PTE
Listen
6.5
23
62
Speak
6.5
23
62
Read
6.5
23
62
Write
6.5
25
62
总分
7
100
69

学术要求

计算机科学类或quantitative相关类专业(如数学、统计学,物理、Natural Science,电子工程,General Engineering,运筹学,)+本科阶段含basic mathematics知识(特别是在微积分、三角学、线性代数、向量和矩阵数学方面)及大一水平的编程科目(如Pascal, C, C++, Java等)

课程设置

Required modules:所需模块 Individual Project credits: 个人项目学分 Scientific Computing for Finance credits: 金融学分的科学计算 Quantitative Methods in Finance credits: 金融学分的定量方法 Case Studies in Finance credits: 金融学分的案例研究 Agent Based Modelling in Finance credits: 金融学分中的基于代理的建模 High Frequency Finance credits: 高频金融学分 Optional modules: 可选模块 Financial Markets credits: 金融市场学分 Fundamentals of Digital Signal Processing credits: 数字信号处理学分基础 Cryptography credits: 密码学学分 C for Financial Mathematics credits: C金融数学学分 Nature Inspired Learning Algorithms credits: 自然启发学习算法学分 Statistics in Finance credits: 金融学分统计 Software Engineering Underlying Technology for Financial Systems credits: 金融系统软件工程基础技术学分 Distributed Ledgers Crypto currencies credits: 分布式分类账加密货币学分 Security Management credits: 安全管理学分 Machine Learning credits: 机器学习学分