The schedule and course offerings of the online program will be unique to the online program, and differ from the course schedule and offerings of the in-person program.
Foundations - 350 units
Computing for Finance in Python (100 units)
Mathematical Foundations of Option Pricing (100 units)
Portfolio Theory and Risk Management (100 units)
Probability and Stochastic Processes (50 units)
Electives - 900 units
Our elective offerings will reflect the coursework offered to the in-person program, with the catalog, schedule, and availability subject to change each academic year. Below are electives expected to be offered to the online program:
Advanced Computing for Finance (100 units)
Applied Algorithmic Trading (50 units)
Blockchain and Cryptoassets for Finance (50 units)
Computing for Finance in C++ (100 units)
Credit Markets (100 units)
Fixed Income Derivatives (50 units)
Fixed Income (50 units)
Foreign Exchange: Markets, Products, and Pricing (50 units)
Full-Stack Quantitative Finance (100 units)
Generative Models (100 units)
Introduction to HPC in Finance (50 units)
Machine Learning for Finance (100 units)
Macro Finance (50 units)
Mathematical Market Microstructure: An Optimization Approach (50 units)
Options: Numerical Methods (100 units)
Quantitative Trading Strategy (100 units)
Stochastic Calculus (100 units)