Quantitative Finance: MS
Course Overview
The Master of Science in Quantitative Finance (MSQF) is designed for highly capable students from mathematics, engineering, science, technology, business, and finance backgrounds who are looking to thrive in the rapidly evolving financial industry. This rigorous program equips participants with the advanced skills required for key roles in trading, product design, underwriting, securitization, asset management, risk management, and beyond.
This program emphasizes the connection between financial architecture and modern market demands, focusing on key areas such as derivatives, payments, settlement systems, and corporate financial management. It targets individuals who are not only disciplined and dependable but also possess a knack for creative and critical thinking.
Throughout the program, students gain hands-on experience in designing, pricing, and deploying financial instruments in competitive markets. They also develop the analytical skills needed to adapt to new financial developments and effectively communicate complex analyses to diverse teams, bridging the gap between technical innovation and finance.
By completing the MSQF, graduates will emerge as industry-ready professionals prepared for challenging roles in financial institutions, boutique firms, asset managers, and non-financial corporations.
What You'll Learn
- Comprehensive Financial Training: Master the skills needed to excel in trading, market design, underwriting, securitization, derivatives, and corporate finance.
- Tech-Driven Finance Expertise: Bridge the gap between financial theories and the latest innovations in product and process technologies.
- High-Demand Skill Set: Build advanced analytical and problem-solving skills that are highly sought after by diverse financial institutions and end-users.
- Adaptability for Modern Markets: Stay ahead in the rapidly evolving finance industry by mastering state-of-the-art methods and tools.
- Enhanced Communication Skills: Learn to convey sophisticated financial analyses effectively to both technical and non-technical colleagues.
Requirements

60,000 USD

New York University
https://www.nyu.edu
