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Master of Science
The M.S. in Applied Statistics program produces graduates who can deal with big data, perform statistical analysis to detect hidden patterns in data, perform risk factor analysis and perform predictive analysis. Applications of statistics are found in many fields such as social sciences, engineering, business, biomedical sciences and economics. The MS in Applied Statistics is intended for students who have a mathematical background (not necessarily having a degree in mathematics) that want to develop strong data analytic skills to solve complex, real world problems. This program meets the needs for recent graduates who are seeking a master’s degree program in applied statistics, and for mid-career workers with a solid mathematics and/or statistics background who are seeking a graduate program in applied statistics either for career advancement or for a career change. Students may pursue the degree on a full-time or part-time basis. Many courses are offered evenings.
Visit the Department Web Page for more detailed program information.
Rolling admission; this means you may apply any time before August 1 for fall term admissions (June 1 for international applicants) and December 15 for spring term admissions (October 15 for international applicants). These are the dates by which your applications must be complete, meaning that all required documentation must be received in the Graduate School by these dates.
However, applicants who wish to be considered for merit-based financial aid (graduate assistantships/fellowships), please be aware of the merit-based financial aid deadlines by which all applicant materials must be received by the Graduate School: Fall (August) Term: February 15, Spring (January) Term: November 15, Summer (May) Term: April 15.
For a comprehensive listing of merit-based aid (graduate assistantships/fellowships) please visit the departmental financial aid web page. Private scholarships may also be available. U.S. citizens and permanent residents may be eligible to apply for need-based federal aid (loans) to help fund their educational expenses as well.