伦敦大学皇家霍洛威学院计算金融学(理学)*专业项目网站

Computational Finance

英国公立商科

项目背景

`

更新时间:2024-07-18

专业排名N/A

大学伦敦大学皇家霍洛威学院

开学时间9月

课程学制1年

学费23900.00/GBP

专业介绍

You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time Vladimir Vapnik and Alexey Chervonenkis (the inventors of Support Vector Machines) were both professors here. We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk – the inventors of conformal predictors theory, a radically new method of estimating the accuracy of each prediction as it is made – and Chris Watkins, originator of reinforcement learning who developed ‘Q-learning’, a work that is fundamental to planning and control. By electing to spend a year in business you will also be able to integrate theory and practice and gain real business experience. In the past, our students have secured placements in blue-chip companies such as Centrica, Data Reply, Disney, IMS Health, Rolls Royce, Shell, Sociéte Générale, VMWare and UBS, among others.

推荐顾问

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
51
Speak
5.5
20
51
Read
5.5
18
51
Write
5.5
17
54
总分
6.5
88
61

学术要求

专业领域:计算机工程,Computing,计算机科学,软件工程,或其他含strong数学,物理内容的专业。不接受土木工程,机械工程,材料工程,及生物医学工程专业。


课程设置

Data Analysis:数据分析 Computation with Data:用数据计算 Foundations of Finance:金融基础 Investment and Portfolio Management:投资和投资组合管理 Ethics in Advanced Computing and Artificial Intelligence:高级计算和人工智能中的伦理学 Individual Project:个人项目 Machine Learning:机器学习 Computation with Data:用数据计算 Methods of Computational FinanceSoftware Verification:计算财务软件验证的方法 Advanced Data Communications:高级数据通信 Digital Audio and Applications:数字音频和应用 Intelligent Agents and Multi-Agent Systems:智能代理和多代理系统 Semantic Web:语义网 Internet and Web Technologies:互联网和网络技术 Online Machine Learning:在线机器学习 Large-scale Data Storage and Processing:大规模数据存储和处理 Service-oriented Computing Technology and Management:面向服务的计算技术与管理 Business Intelligence:商业智能 Business Intelligence Systems, Infrastructures and Technologies:商业智能系统、基础设施和技术 Computational Optimisation:计算优化 Methods of Bioinformatics:生物信息学方法 Visualisation and Exploratory AnalysisCorporate Finance:企业财务的可视化和探索性分析 Macro and financial econometrics:宏观与金融计量经济学 Fixed:固定 Income Securities and Derivatives:收入证券和衍生品