JHU是全球闻名的顶级综合性大学，全美排名前十，它的金数项目在2021年QuantNet上排名第25位左右。
项目要求学生完成两门金数核心课：Introduction to Financial Derivatives和Interest Rate and Credit Derivatives，三门应用数学核心课：Stochastic Processes and Applications to Finance，Applied Statistics and Data Analysis和Applied Statistics and Data Analysis。除了核心课程外还必须要参加Financial Mathematics Masters Seminar，Financial Computing Workshop，Communication Skills Practicum以及第一年结束后的实习。
JHU金数项目一共有5个兴趣分支，7门选修课可以根据分支来进行选择：
Risk Management：Monte Carlo Methods
Financial Computing in C++ or Financial Computing I
Risk Management
Quantitative Portfolio Theory & Performance Analysis
Advanced Equity Derivatives
Asset Management：Equity Markets and Quantitative Trading
Investment Science
Financial Computing in C++ or Financial Computing I
Risk Management
Quantitative Portfolio Theory & Performance Analysis
Optimization in Finance
Advanced Financial Theory
Derivatives：Monte Carlo Methods
Stochastic Processes & Applications to Finance II
Financial Computing in C++ or Financial Computing I
Financial Engineering and Structured Products
Advanced Equity Derivatives
Advanced Financial Theory
Commodities & Commodity Markets
Quantitative, Algorithmic, High-Frequency Trading:
Data Mining
Equity Markets and Quantitative Trading*
Financial Computing in C++ or Financial Computing I
Optimization in Finance
Statistical Theory
Bayesian Statistics
Machine Learning
Fixed Income & Commodities：Stochastic Processes & Applications to Finance II
Investment Science
Financial Computing in C++ or Financial Computing I
Risk Management
Financial Engineering and Structured Products
Commodities & Commodity Markets
除了以上课程之外，项目也允许在其他金融数学和应用数学相关课程里进行选择。
