要成功完成金融数学研究生课程，您必须对数学有很好的理解。您很可能已经在大学学习过数学，物理或工程学位。金融数学硕士课程的重点是随机性和模拟技术，但也涵盖了一些计量经济学。您将学习核心模块，这些模块涵盖资产定价，风险管理以及关键金融证券（例如股票，固定收益和衍生工具）的介绍。您将涵盖随机的广泛基础知识和高级主题，包括征费过程和不同的模拟技术。您将学习Matlab和VBA，并且有机会学习其他编程语言，这是我们的选修课的一部分，例如Python或C。您将对金融市场中使用的技术方面有很好的了解。广泛的金融理论和不
Those interested in learning more about financial market and some of the mathematical techniques which are applied, in particular stochastic modelling. In our post-graduate master's in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, learn about different financial securities and how they are used in risk management or asset management.<br>The post-graduate master's in Financial Mathematics programme focuses on mathematical concepts used by quants, including stochastic modelling, simulation techniques and econometrics. Students will learn about asset pricing, risk management, and different financial securities, including equities, fixed income and derivatives. You will be taught Python and Matlab during terms 1 and 2, and you will have the opportunity to learn VBA in the elective term. Term three offers you flexibility within your masters, either by writing a dissertation or undertaking a project, or by completing your postgraduate degree entirely choosing electives. The difference between the MSc Financial Mathematics to MSc Mathematical Trading and Finance and MSc Quantitative Finance are core modules which focus on stochastic modelling and simulation techniques.<br>The MSc in Financial Mathematics equips you for a variety of careers in finance and related areas, in the UK and around the world. Graduates go on to successful careers in quant roles, traditional finance roles and data science & analytics roles or work involving developing pricing models for large financial firms. Youll be well qualified for a role within large investment banks, small specialist financial companies or boutique firms. The MSc in Financial Mathematics also prepares you for a PhD in the areas of Mathematical Finance and Financial Engineering.