金融数学是数学的一个分支，其中开发了先进的数学和统计方法，用于金融市场和金融管理。其主要目的是量化和对冲金融市场中的风险。申请人应具有扎实的数学背景，包括微积分，线性代数，常微分方程以及用于概率和统计的基本技术。有效的计算方法对于在金融中成功使用数学模型至关重要。本课程旨在反映知识和技能的结合，使毕业生有能力进入定量金融及相关领域的竞争性就业市场。可选模块还为毕业生提供了数据分析的基础。
Course overviewThe course teaches advanced financial mathematics combined with computational techniques. You'll learn mathematical techniques and skills that are used across the financial sector to quantify and hedge risk. The programme uses modern machine learning techniques for you to learn how to apply them to computational and financial mathematics. This provides hands-on experience using some of the latest software tools and libraries, as used by leading organisations from the industry.This MSc at Nottingham can provide many career opportunities in sectors including:investment and commercial bankingquantitative and actuarial analysishedge fund managementresearch in academia and industryCourse structureThe programme includes teaching expertise from the School of Mathematical Sciences and the School of Economics. You will study core modules including:Financial MathematicsComputational Applied Mathematics,Scientific Computing and CChoose optional modules such as Statistical Machine Learning or Economics of Corporate Finance to suit your interests. Expert teaching staff will support you and guide you through your written dissertation.A highlight of the course is our partnerships with leading industry and academic experts. The panel includes individuals from Credit Suisse, Oxford University and other organisations, to ensure the degree remains relevant and up to date with changes in quantitative finance.Representatives from companies such as Bloomberg, Capital One, HSBC and PwC also provide guest lectures during the year.