The Department of Statistics offers programs of study leading to the degrees of Master of Science (Plan A or B available), Doctor of Philosophy, and Master of Applied Statistics (Online). The M.S. degree is professionally oriented for the student who plans a career in government, business or industry and is preparatory for the Ph.D. The Ph.D. program offers a broad training in both statistical theory and methods while affording options to suit the student’s interests. The statistics Ph.D. is well-suited for academic, business, government and industrial positions. In addition to formal course work and research training, the advanced student has opportunities to gain valuable practical experience by participating in consulting activities under faculty supervision. Master of Applied Statistics is an innovative online professional graduate degree which is designed to train professional, practice-oriented statisticians who have both data analytic and computing skills.
Both, the M.S. and the Ph.D. program offer a Mathematical Statistics track, as well as a Biostatistics track. The latter tracks are designed for students who envision a future at the interface of Statistics and the Life Sciences.
Course work is available in areas associated with statistics such as biological modeling, probability, inference, experimental design and analysis, computational statistics, nonparametric methods, Bayesian analysis, mixed modeling, multivariate analysis, survival analysis, clinical trials, and many other selected topics of the student’s choice.
The University of Kentucky is represented on the Committee on Statistics of the Southern Regional Education Board.
Admission Requirements
Students with an M.S. degree in Statistics are encouraged to apply. Students with an undergraduate major in any of the mathematical, physical, biological, social or applied sciences are encouraged to apply for the M.S. degree in Statistics program as preparation for the Ph.D. program. The minimum GRE and GPA admissions requirements for the Ph.D. programs in Statistics are the same as for the Graduate School. However, the number of admissions is limited and admissions decisions are made on a competitive basis. All Ph.D. applicants must have successfully completed a three or four semester sequence in calculus and a course in linear algebra, have good communication skills, and are highly encouraged to complete the M.S. statistics program. Applicants wishing to be admitted directly to the Ph.D. program must have the permission of the Director of Graduate Studies. Students wishing to apply for teaching assistantships and/or fellowships must submit three letters of recommendation.
Please see the departmental website for up-to-date information and answers to frequently asked questions about the admissions process.
Degree Requirements
The core curriculum in statistics is designed to provide doctoral candidates with a firm foundation in probability theory, inference, advanced computation, and classical methodology. In addition, the theory and application of computational statistics, biostatistics, and state-of-the-art inferential procedures are an integral part of the core curriculum. Students in the doctoral program in statistics will choose one of two areas of specialization, 1) mathematical statistics or 2) biostatistics. The requirements for these areas of specialization are:
Shared Core (13 credit hours):
Mathematical Statistics: Must take two of the following courses (totaling 6 credit hours)
Biostatistics: Must take two of the following courses (totaling 6 credit hours)
All students must take an additional six elective courses chosen by the student and approved by the DGS. These courses must be chosen from among:
Students must pass a uniform written exam over the course topics in STA 607 , STA 700 , STA 701 and STA 703 . This examination is comprised of two parts (“Probability” and “Inference”) and is normally offered in May/June. Students will usually sit for the written examination at the end of the semester upon completion of examinable coursework. Each part of the uniform exam can be repeated only once. Passing both parts of the uniform exam is required to continue in the PhD program. After completion of track course requirements and successful completion of the written exam, students must also successfully complete a doctoral qualifying exam which is scheduled through the Graduate School and administered by the student’s advisory committee. A significant part of this exam is to be a dissertation proposal. Areas of current research interest can be found by going to the Department of Statistics faculty web page https://stat.as.uky.edu/.
All students, master’s and doctoral, will be required to take part in an internship program. This will usually consist of teaching (three or six semester hours) or an equivalent amount of work in a research assistantship working with researchers across campus.
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