Distinguished by its mathematically rigorous course content and direct applications to industry, WPI’s Professional MS in Financial Mathematics program will prepare you for a successful career in the financial services industry.
Our program offers unique courses that bridge strong theoretical mathematical knowledge with practical, real-world projects, enabling you to gain industry-level experience in the classroom.
You’ll also have the opportunity to learn from and work alongside internationally renowned faculty members who are spurring advances in topics including portfolio optimization, liquidity, credit and systemic risk, and numerical methods of stochastic and partial differential equations.
Through core financial mathematics courses you’ll build a strong foundation in concepts and processes involved in arbitrage-based pricing of derivative securities and fixed income securities, based on a sound understanding of measure-theoretic probability theory and stochastic processes. You’ll also take advanced courses that give you in-depth knowledge and hands-on practice in computational methods in finance, portfolio management, and market and credit risk modeling.
You will complement your studies with courses in financial management, information technology, or computer science, as well as a professional skills development seminar and capstone experience involving a project, practicum, or advanced course.
A capstone project will enable you to synthesize and apply your financial mathematics knowledge and skills in one of three ways:
You’ll often find our graduate students working side-by-side in our dedicated Financial Math Lab, which features dual core workstations with dual monitors and industry-standard software. Graduate students also have access to a broad spectrum of high-end robust hardware and commercial software in additional facilities in the department and on campus.
My research is in the field of Mathematical Finance, which aims at building probabilistic models that provide insights into the behavior of financial market participants, and developing the underlying mathematical theories. My work focuses on the optimal investment and consumption policies in various market settings.
I received my Ph.D. in Mathematics from Boston University in 2013, and spend the next two years in the University of Michigan at Ann Arbor as a Postdoctoral Assistant Professor, before joining WPI as a tenure track Assistant Professor.
I teach many graduate courses in our Financial Mathematics Professional Master’s Program. I particularly love engaging graduate students in areas of financial mathematics; the material is exciting, cutting edge, and fun to apply and relate to current events and states of financial markets. At the undergraduate level, I teach upper-level optimization electives, as well as calculus courses. I enjoy teaching at this level, showing undergraduate students why the mathematics we study is important and relevant.
I am an applied mathematician specializing in the field of financial mathematics and engineering. Currently, I am most interested in problems involving modeling with stochastic volatility and the implied volatility surface. Another topic of my research interests lies in delegated portfolio optimization and the role played by incentive schemes paid to fund managers.
I enjoy teaching and I love interactions with students. In teaching, I teach students how I think and learn their views of my research fields. My current interest is to investigate numerically the propagation of noise using models of stochastic differential equations arising in various applications, especially in fluid dynamics, biology, and finance.
