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The Department of Statistics provides multiple graduate degree options, such as the MS and PhD in Statistics along with the Master of Applied Statistics (MAS). In collaboration with the College of Public Health's Division of Biostatistics, it oversees a distinctive Interdisciplinary PhD Program in Biostatistics. The department strives to advance statistical science through innovative theoretical and methodological developments. Key strengths encompass Bayesian statistics, spatio-temporal analysis, statistical learning, and biostatistics, with research focused on contemporary and emerging fields. Many faculty and students engage in cross-disciplinary projects that yield substantial scientific impacts beyond traditional statistics. Faculty consistently obtain competitive funding from prestigious organizations like the National Science Foundation (NSF) and National Institutes of Health (NIH). The department also co-manages the NSF-supported Mathematical Biosciences Institute located at Ohio State.
The PhD curriculum centers on mathematical statistics coursework, supplemented by specialized applied and theoretical classes. During initial years, students fulfill required and elective courses while preparing for qualifying exams. Admission is granted for statistical study rather than to work with specific professors. For the first two years, the Graduate Studies Chair advises students, who are encouraged to explore independent studies with potential faculty mentors. Subsequently, students and faculty jointly determine dissertation advisors and committee members. Following exams and coursework, students concentrate on research, culminating in dissertation completion and defense. While most finish in approximately five years, accelerated completion is possible based on research progress.
A baccalaureate or professional degree (or equivalent foreign credential) from an accredited college or university, earned by the expected date of entry into your graduate program. A minimum of a 3.0 cumulative GPA (on a 4.0 scale) in all prior undergraduate and graduate work.
English Language requirements: