MSc in Applied Statistics in Rochester United States | Oakland University

This program aims to expand the pool of individuals with comprehensive statistical methodology training applicable to industrial, business, and government environments. Its core objective is to establish a foundation for proficient implementation of contemporary statistical techniques. The curriculum covers fundamental theory along with specialized areas like experimental design, regression analysis, categorical data analysis, statistical computing, quality control, nonparametric methods, multivariate analysis, reliability studies, survey sampling, and time series analysis. All application-focused courses emphasize the use of modern statistical software. Given the varied backgrounds of incoming students, academic advisors help tailor course selections to ensure broad training while addressing individual needs. Classes are scheduled in late afternoons or evenings to accommodate working professionals pursuing career advancement. Qualified full-time students may secure teaching or research assistantships, while industry internships are also offered.