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
Set yourself up to thrive with an actuarial mathematics and quantitative risk master’s degree from Stevens, ranked among the nation’s top 10 programs by Great Business Schools.
Actuarial science is projected to be one of the fastest-growing professions over the next decade. Here at Stevens, you’ll gain deeper expertise in probability and statistics, as well as advanced knowledge of insurance strategies and financial instruments. You’ll collaborate with top-notch faculty who have broad experience and learn industry-standard software programs like R, SAS and MatLab. Stevens graduates go on to secure positions such as actuarial manager, actuary and risk consultant at some of the nation’s largest insurers and banking institutions, including Geico, Liberty Mutual, TIAA and Sun Life Financial.
The Stevens Advantage
At Stevens, our mathematical sciences department boasts some of the top algorithmic and geometric group theory teams in the world. We’re also a 15-minute ride from the center of Manhattan—where many insurance companies, large banks and hospitals who are looking to hire actuarial talent have headquarters. Our location gives students a leg up on the competition when it comes to networking, internships and employment opportunities.
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.