We offer statistics courses which cover topics such as regression analysis, design of experiments, data mining, Bayesian theory and methods, multivariate statistics, time series analysis and response surface methods. These courses consist of a blend of mathematical theory and application. Depending on their interests, students can take additional courses in mathematics, computer science, operations research, engineering, finance or economics. It is recommended that students contemplating study in statistics have a background that includes multivariate calculus, linear algebra, probability and statistics, and computer programming.