Sophisticated modeling and information technology now dominate the financial world. This modeling creates exciting openings for innovative, custom-designed instruments in the marketplace that allow you to turn financial theory into applied practice.
At NYU Engineering, we train our students to do exactly that. Our MS in Financial Engineering program furnishes you with foundational knowledge in financial concepts. This knowledge then becomes a springboard to specialized fields where you can apply concepts to everything from derivatives and securitization to algorithmic trading and data mining. You can follow 4 different tracks as you earn your degree: Financial Markets and Corporate Finance, Computational Finance, Technology and Algorithmic Finance, and Risk Finance.
As a graduate of the MS program in Financial Engineering, you can pursue fast-moving and highly rewarding careers that create value enabled by finance, technology, computational finance, and engineering risk finance. Careers and employment opportunities include trading, investments, financial risk management, pricing, as well as corporate financial positions in a broad array of firms, such as financial services, insurance, industrial, and business.
Coursework and Research
Financial engineering seeks to bridge theoretical finance and its practice. This concept underpins the NYU Engineering Master of Science in Financial Engineering program. We offer a wide range of graduate-level courses including Financial Econometrics, Behavioral Finance, and Financial Regulation, as well as a wide range of financial labs, Bloomberg assisted classes, and topical and advanced courses including Personal Finance, Algorithmic Trading, and Rare Events and Uncommon Risks Finance.
You will learn how to apply both financial and economic theories to the complex problems financial engineers confront — from fixed income and derivatives to credit risk and credit derivatives and securitization. Your financial engineering coursework will bridge the gap between theoretical and applied finance.
The department has a Research Institute that emphasizes specialized research areas and provides research opportunities. These include:
- Research on personal finance and investments, the finance of rare and uncommon risks, financial regulation, real finance and business policy, alternatives finance, as well as topical projects pursued by students and faculty.
- Research that emphasizes trading platforms and software development and the management of financial technology, as well as related topics. The Institute is a research hub and laboratory for generating new industry ideas and tools. It also undertakes collaborative research projects to provide ideas, methods and tools with scholarly and practical applications.
To be admitted into the master’s in Financial Engineering program, you must have a bachelor’s degree and superior mathematical talent. Students with degrees in other fields may be admitted, possibly with undergraduate deficiencies, at the discretion of departmental advisers. Before beginning graduate studies, conditionally approved students must demonstrate proficiency in basic statistics, probability and mathematics. The Department makes available refresher courses for this purpose and to serve the population of students who have been out of academia prior to matriculating into this program. Prerequisites: GRE exam scores (GMAT may be substituted, but GRE is strongly preferred), Calculus (MA 1124 or equivalent) Probability and Statistics (MA 2212 and MA 2222 or equivalent), and Linear Algebra (MA 2012 or equivalent).