Xiaohu Li
Xiaohu Li researches applied probability, mathematical statistics, dependence modelling, stochastic order, actuarial risk, and reliability.
Actuarial Mathematics and Quantitative Risk Master's Program
Gain the skills that will bring you success in a rapidly expanding profession with an actuarial science master’s degree.
This program is designed to provide a solid academic foundation in the fundamental concepts of actuarial science with an emphasis on mathematical methods and ensuing models to evaluate, manage and control actuarial risk.
The actuarial mathematics and quantitative risk master’s program introduces insurance strategies and their financial instruments through six core courses and four elective courses that will give students a strong background in probability and statistics and excellent professional skills, create a path toward professional certifications, and provide training on popular insurance industry and data science software such as R, SAS and MatLab.
The Stevens Advantage
Stevens location gives students easy access to a number of insurance companies headquartered in nearby New York City and New Jersey are constantly recruiting top talent. Large businesses such as banks and hospitals seek qualified applicants to evaluate risks in financial transaction and healthcare.
Stevens’ World-Class Faculty
Stevens' math department boasts one of the top algorithmic and geometric group theory teams in the world, with distinguished experts in stochastic optimization and cryptography.
Darinka Dentcheva
Darinka Dentcheva is an expert in optimization, risk analysis and decision making under uncertainty.
Michael Zabarankin
Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles…
Math Research at Stevens
Stevens is a Premier Research Institution
The Department of Mathematical Sciences focuses its research around stochastic systems and optimization as well as algebraic cryptography, and new methods in these areas have extensive implications across a wide range of disciplines.