This advanced certificate is designed for engineers, scientists, and similar professionals who want a sound education in statistical methods but who wish to finish a program in a shorter time period than that for the MS degree in applied statistics. Graduates of this program will be able to characterize variation in their processes through ANOVA; model processes through regression; and optimize processes through experimental design. Based on electives, graduates may also be able to construct robust processes and products, perform advanced experimental design techniques, create time series models, study multivariate relationships, or investigate reliability of products.
Credit earned through this certificate may be applied toward the MS in applied statistics.
The program is available part-time, on campus or online, and consists of 18 credit hours (six courses).