01， University College London伦敦大学学院

伦敦大学学院（ University College London，简称UCL）创建于1826年，是伦敦历史最悠久，同时也是英国规模最大、学科最广的综合研究型大学，有近4万人的学生规模。本校学院创始之初拥有医学院、数学与物理学院、工程科学学院和社会科学学院，后逐渐扩展至11个大学院。UCL大学在诸多的大学评比及排名表中始终名列前茅，全球综合排名一直保持在前30强。UCL大学位于伦敦市中心的布鲁姆斯伯里高尔街(Bloomsbury)区 ，环境安全，文化资源丰富，优越的地理位置便于学生探索（游览）伦敦众多的国际著名景点。

Financial Mathematics MSc （金融数学）

网址：https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/financial-mathematics-msc

入学要求：A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard. Overall grade of 6.5 with a minimum of 6.0 in each of the subtests.

均分：985/211学生建议均分85+，双非学生建议均分90+，注：ucl 有自己的list名单，想要知道自己的院校是否在名单上，可小程序搜索“欧思留学”，一分钟快查英国院校~

学费：38300英镑

课程安排： The course is equivalent to 180 UCL credits. The programme normally consists of 4 compulsory components (60 credits), 4 optional components (60 credits), plus an individual project (60 credits). Compulsory modules Financial Mathematics Dissertation 金融数学论文 Asset Pricing in Continuous Time (Masters level)连续时间资产定价 Finance and Numerics 金融和数学 Market Risk and Portfolio Theory 市场风险和投资组合理论 Statistical Methods and Data Analytics for Finance 金融统计方法和数据分析 Optional modules Applied Computational Finance 应用计算金融 Stochastic Processes随机过程 Mathematics and Statistics of Algorithmic Trading算法交易的数字与统计 Interest Rates and Credit Modelling利率和信用模型 Topics in Financial and Insurance Mathematics金融保险数字专题 Forecasting 预测 Quantitative Modelling of Operational Risk and Insurance Analytics操作风险和保险分析的定量建模

02 ，King's College London伦敦国王学院

伦敦国王学院（King's College London) ，简称King's或KCL，伦敦大学的创校学院，由英国国王乔治四世建于1829年。世界顶尖的综合研究型大学，是英国最具盛名的多学科、以研究见长的大学之一，英国金三角名校，罗素集团成员，国王学院的校友及教员中共诞生了12位诺贝尔奖得主，16位政府或国家首脑、34位英国现任国会议员。大学的校园坐落于伦敦市中心，泰晤士河畔，主校区与伦敦政治经济学院毗邻，其他四大大校区，分布于泰晤士河两岸，隔河相望，景色十分迷人。

Financial Mathematics MSc.（金融数学）

网址：https://www.kcl.ac.uk/study/postgraduate-taught/courses/financial-mathematics-msc

入学要求： A minimum high 2:1 undergraduate Bachelor’s (honours) degree with a final mark of at least 65% or above If you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).

学士学位，2：1数学或数学学科荣誉学位。 申请人需要证明有进阶数学和纯数学的研究。 为了满足该课程的学术入学要求，您应具有至少2：1的本科学位，并且在英国最终分数至少为60％或以上的同等成绩。

均分要求：985/211建议均分83+，双非学生建议均分88+

雅思要求 6.5 overall with a minimum of 6.0 in each skill

学习时长： 1 year

学费： £349，20

课程内容 ：Financial Mathematics studies problems of financial decision by combining various techniques from pure and applied mathematics. This course covers a diverse range of topics, from classical options pricing theory to post-crisis financial mathematics on optimal hedging, investment and risk management. Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics. Our Financial Mathematics MSc is a unique course that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets. You will explore probability theories, risk neutral valuation, stochastic analysis, numerical methods, as well as interest rate and credit risk modules. We are members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics. You must take modules totalling 180 credits to complete the course, and you will complete the course in one year, from September to September.

金融数学的研究问题的金融决策结合各种技术从纯粹和应用数学。本课程涵盖了范围广泛的议题,从经典的期权定价理论危机后的金融数学最优套期保值,投资和风险管理。像任何分支的应用数学,金融数学分析一个给定的问题,首先建立一个数学模型,然后研究模型。这两个步骤需要详细的数学知识在不同的领域,包括概率、统计、优化、计算机科学和数学更多的传统领域。我们的金融数学硕士是一个独特的课程,包括成功的风险管理所需的基本技能、交易和研究定量金融学:概率,统计数据,优化、计算和金融市场。你将探索概率理论,风险中性估值,随机分析,数值方法,以及利息

03 ，The University of Warwick华威大学

华威大学（The University of Warwick)，世界百强名校，英国顶尖研究型大学，英国常春藤联盟罗素大学集团成员，在QS世界大学排名中居第64名。华威大学位于英国英格兰中部华威郡和考文垂市的交界处，创立于1965年。华威大学以其严格的学生筛选标准，高水准的学术研究和教学质量而闻名。华威大学在工、商、政、学各界均拥有良好的口碑，华威商学院被誉为英国最顶尖的商学院之一，华威大学校址位于距英格兰中部城市考文垂西南部约4公里处，半个小时可到达伯明翰。

Mathematical Finance – MSc（数学金融）

网址：https://warwick.ac.uk/study/postgraduate/courses/mathematicalfinance

入学要求： First Class Honours degree or a high 2:i undergraduate degree in Mathematics, Statistics, Physics, or another relevant quantitatively-focused degree.

均分要求：985/211学生建议均分在83+，双非学生建议平均分88+，

语言要求： IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

学习时长 ：1 year

学费： £34,500

课程内容 ：This unique course provides training from three top departments at the University of Warwick: Mathematics, Statistics and Warwick Business School. Building on your strong mathematical background, you will develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance that are used within the financial markets and finance industry. Our compulsory modules focus on the four elements of the core skill set needed for careers in finance: Financial Statistics, Financial Mathematics, Asset Pricing and Risk, and Simulation and Machine Learning for Finance. In line with these modules, you will also learn programming for Quantitative Finance, focusing on C++, Python, and R.

这种独特的课程提供培训来自华威大学三大部门:数学、统计学和华威商学院。建立在你强大的数学背景,您将开发和应用的定量技能在机器学习中,计算中使用的统计和数学金融学金融市场和金融行业。 我们必修模块的四个元素所需的核心技能职业金融:金融统计、金融数学、资产定价和风险,并为金融模拟和机器学习。符合这些模块,你将也为定量金融学学习编程,专注于c++、Python和R。 必选板块 Programming for Quantitative Finance 量化金融编程 Stochastic Calculus for Finance 金融随机微积分 Financial Statistics 财务统计 Simulation and Machine Learning for Finance 金融模拟和机器学习 Asset Pricing and Risk 资产定价和风险 Financial Econometrics 金融计量经济学 Applications of Stochastic Calculus in Finance随机微积分在金融中的应用 Dissertation 论文 选修板块 Optional modules can vary from year to year. Example optional modules may include: Advanced Risk Management 高级风险管理 Statistical Learning and Big Data 统计学习与大数据 Behavioural Finance 行为金融学 Advanced Trading Strategies 高级交易策略 Partial Differential Equations in Finance金融中的偏微积分方程