Analysing and describing data in a world where the quantity of available data is exploding makes the study of mathematical statistics a frontier of science. Business and government are both faced with a complex task of deriving meaningful information from big data, as are many areas of science (biology and physics for example). Statistics is a crucial tool in such efforts.
Foundational courses in calculus, linear algebra, statistics and probability occupy the first two years of the program with subsequent courses focusing on advanced topics in real analysis, regression analysis, survey design, and experimental design for example.
Faculty research interests encompass areas such as stochastic programming, robust optimization, large scale optimization, Monte Carlo methods, statistical signal processing, mixture models, combinatorics, asymptotics, biostatistics, statistical genetics, statistical inference, interactive statistical graphics for example.
The graduate program in statistics, supported by this depth of faculty expertise, provides research-based training in advanced statistics.