国际学生入学条件
We will consider applicants with a 2:1 degree in one of the following subjects: Computer science, Computer science, Computer science
A degree with an overall grade of between 55% to 60% OR 6.0 to 7.0/10 OR 2.4 to 2.8/4 depending on the degree institution.
Official transcript(s), in English or a certified translation of your academic results to date, showing marks or grades, must be provided at the time you make your application. (Transcripts are not required from current or previous University of Essex students, or from students who have previously completed a degree at Colchester Institute awarded by the University of Essex).
If you are applying to one of our taught courses in the Essex Law School or Human Rights Centre, a Pre-Registration Masters course, our MA Social Work, or the Essex MBA, you will need to provide a copy of your CV with your application.
IELTS - 6.0 overall with minimum component scores: Listening: 5.5 Reading: 5.5 Writing: 5.5 Speaking: 5.5
TOEFL IBT -76 overall with minimum component scores: Listening: 17 Reading: 18 Writing: 17 Speaking: 20
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雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:76
- 托福笔试总分:160
- 其他语言考试:PTE - 50 overall with minimum component scores: Listening: 42 Reading: 42 Writing: 42 Speaking: 42
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
我们的MSc计算机金融学为您提供现代定量金融学的核心概念和数学原理,以及为使用计算机软件包(主要是Matlab)进行金融建模提供的操作技能。我们提供实用的实践知识,以了解现代高度计算机机化的金融市场如何运作,资产应如何定价以及投资者应如何构建资产组合。除了衍生工具和资产定价方面的传统主题外,我们还特别强调非高斯环境中发生极端事件的风险管理。您可以通过研究以下主题来掌握这些领域:衍生工具定价和投资组合管理的非线性和进化计算机方法微积分和统计方法的应用金融和经济学中的计算机智能金融市场
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.<br><br>We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.<br><br>You master these areas through studying topics including:<br><br>Non-linear and evolutionary computational methods for derivatives pricing and portfolio management<br>Applications of calculus and statistical methods<br>Computational intelligence in finance and economics<br>Financial markets<br>You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.<br><br>Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.<br><br>Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.<br><br>This course is available on a full- and part-time basis, starting in October.
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