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专业介绍
美国约翰霍普金斯大学金融数学硕士课程教授给学生金融数学领域的专业知识与实用技能。金融数学硕士带领学生一起探索在当今全球化的复杂国际情势下的金融领域的关键而颇具挑战性的问题以及解决方案。美国约翰霍普金斯大学金融数学硕士课程的学制为两年,涉及的内容包括金融工程、定量方法、概率,统计,优化,偏微分方程、金融市场管理与科学计算。我们的毕业生遍布世界各个国家与地区的中央银行、金融监管机构、商业银行、证券公司、股票交易所等。
At Johns Hopkins, Financial Mathematics continues a rich engineering tradition whereby the strengths of the faculty in research, education and leadership are applied to expand knowledge and apply new knowledge for the benefit of humanity by addressing the complex problems of modern society. Understanding and navigating today’s rapidly evolving, world-wide economic and financial landscape presents one of society’s most challenging, modern problems.
FINANCIAL MATHEMATICS
Financial Mathematics (commonly described using an array of roughly synonymous alternative titles including Financial Engineering, Computational Finance, Mathematical Finance, and Quantitative Finance) is an engineering discipline fundamentally enabled by the intellectual pursuits spanned by the faculty of Applied Mathematics and Statistics (AMS): probability, statistics, optimization, partial differential equations and scientific computing.
The unifying premise for Financial Mathematics is more than just a collection of techniques applied to a common problem area. Rather, it quantifies and enables much of the modern interplay in global markets among companies, investors, and financial agents; constrained or constructed by the actions of central banks, regulators and governments. Global financial agents, which include broker-dealers on Wall Street, in London, Hong Kong and elsewhere, create and package (or repackage) capital products and services into the instruments that are so vital to the course of world-wide capital allocation, investment, and risk transfer. None of this could occur today without the sophisticated approaches enabled by financial mathematics which have evolved over the past 25 years.