Research activities in the Mathematics and Actuarial Science Department cover a wide range of areas in pure and applied mathematics, actuarial science, statistics, data science and related fields.

Details concerning individual research interests and recent activities are found on the personal Web pages of faculty members. Areas of active research include mathematical programming and optimization, queuing and reliability models, history of mathematics, computation, of graphical models, topology, category theory, logic, model theory, robust statistics, computational statistics, visualization of high dimensional data, survival analysis, Bayesian inference in reliability, regression analysis, time series, multivariate analysis, fatigue and lifetime data analysis, extreme value distributions, machine learning, artificial intelligence, algorithm analysis, simulation, and Bayesian, neural and functional networks.