Students shall be able to analyze and interpret data from real-world problems critically using programming skills and a broad range of statistical models and methods.
Statistics, Master of Science
Our Master of Science in Statistics program is designed to give students a solid foundation in applied and theoretical statistics, enabling them to prepare for careers as statisticians in industry, business, or teaching or for subsequent doctoral study. Special features of the program include the opportunity to participate in data analysis projects and to combine coursework in Statistics with study in related fields.
Degree and Course Information
- Total Hours: 32 hours
- Qualifying exam covers: 563, 566, 664, and 665
- Comprehensive exam consists: oral master project presentation and written master project report.
- GPA:3.00 GPA overall and in all MTH and STA courses except those which can not count toward the degree.
Admission Requirements and Information
- Undergraduate degree with at least a 3.00 (of 4.00) grade point average.
- At a minimum, the student should have strong performance in three semesters of calculus, one semester of linear algebra, and a probability / mathematical statistics course. (Note that we do not require that the undergraduate degree be in statistics or mathematics.)
Students typically enter the program in the fall semester. The application deadline for fall admission is February 1.
Spring admission is only granted in very rare circumstances for students having unusually strong prior course backgrounds, and assistantship funding is generally unavailable for these students. If you wish to apply for spring admission, please contact the graduate director for advice before submitting an application.
Contact: Seonjin Kim, Graduate Director, kims20@MiamiOH.edu, 305A Upham Hall, 513, 529-2175
General Questions: statistics@MiamiOH.edu
The three learning outcomes for the M.S. Statistics degree are:
Students shall demonstrate a comprehensive understanding of the mathematical basis and theoretical foundations of statistics.
Students shall be able to effectively and independently communicate, both orally and in written form, the results of statistical analyses.
The Department of Statisitcs offers graduate assistantships to a number of its students each year on a competitive basis. Full and half appointments are offered, with assigned duties either on or off campus. Recently, some of our graduate assistantships have been funded externally. Students in these positions spend two days per week off campus performing specialized work for the funding agency.
Most of our graduate assistants are assigned duties on campus. These students may:
- assist in one or more statistics classes by some combination of the following: grading, holding office hours, providing help sessions, leading small group sections, or otherwise assisting a professor,
- assist with projects in the Statistical Consulting Center, or
- work in some other capacity, e.g., as a research assistant.
Full assistantships require 16-20 hours of work per week. In return, the student receives a 100% tuition waiver and a stipend for living expenses. Half assistantships require 8-10 hours of work per week and provide a 50% tuition waiver and half stipend. In addition, all graduate assistants receive a 100% out-of-state surcharge waiver.
Eric Ansong - firstname.lastname@example.org - UPH 321
Joesph Davis - davisjk4@MiamiOH.edu - UPH 321
Sally Dufek - dufeks@MiamiOH.edu - UPH 319
Cole Falco - email@example.com - UPH 321
Colton Gearhart - firstname.lastname@example.org - UPH 319
Brant Imhoff - email@example.com - UPH 317
Yunzhi Kong - firstname.lastname@example.org - UPH 317
Zhiyuan Li - email@example.com - UPH 317
Sooyeong Lim - firstname.lastname@example.org - UPH 317
Xinqi Liu - email@example.com - UPH 317
Xinyuan Liu - firstname.lastname@example.org - UPH 317
Mark Miller - email@example.com - UPH 319
Matthew Misterka - firstname.lastname@example.org - UPH 319
Xuyi Pei - email@example.com - UPH 321
Kaitlyn Sullivan - firstname.lastname@example.org - UPH 321
Bunyodjon Tusmatov - email@example.com - UPH 317
Kunyao (Richard) Xu - firstname.lastname@example.org - UPH 317
Bunyodjon Tusmatov - email@example.com - UPH 302
Xin Zhi - firstname.lastname@example.org - UPH 319
Weishen Zou - email@example.com - UPH 317