Ph.D. Program
INDEX:
Students are normally not admitted directly into the Ph.D. program unless they have the equivalent of a masters degree from an accredited U.S. university. To be admitted students should have at least a B (3.00 GPA) average in courses taken during the last two years of their masters degree.
A total score of 1000 (verbal plus quantitative) on the GRE exam and a verbal score of at least 360 are required for admission. Students whose native language is not English must score at least 550 on the Test of English as a Foreign Language (TOEFL) exam. However, for students who have attended an accredited U.S. institution for one year or longer, that requirement is waived.
International students whose native language is not English must submit satisfactory scores on the Test of Spoken English (TSE) or the SPEAK test to be eligible for teaching assignments. Students who score 55 or above are allowed to teach in the classroom. Those who score 45 to 50 are allowed to teach on the condition that they enroll concurrently in ENS 4502. (See the Graduate Catalog for more details.)
The University of Florida and the Department of Statistics encourage applications from qualified individuals from all cultural, racial, religious, and ethnic groups.
For information
contact:
Department of Statistics
University of Florida
P.O. Box 118545
Gainesville FL 326118545
Phone: (352)3921941 FAX: (352)3925175
Email: gsa@stat.ufl.edu
2 Course Requirements for Ph.D.Degree
A minimum of 90 credits beyond the bachelor's degree is required for the doctoral degree. Formal course work accumulated by students (beyond the bachelors degree) should be in the neighborhood of 60 credit hours. The remaining hours will be in STA 7979 or 7980 registration.
The required courses for the Ph.D. are:
Course  Title  Hours 
STA 64666467  Probability Theory  6 
STA 7346  Statistical Inference  3 
STA 7249  Generalized Linear Models  3 
Doctoral students are also required to complete at least four additional courses, three of which must be Ph.D. elective courses offered by the Department of Statistics. Among the courses that may be used for this requirement are the following:
Course  Title  Hours 
STA 6247  Advanced Topics in Experimental Design  3 
STA 6248  Advanced Topics in Linear Models  3 
STA 6746  Multivariate Analysis  3 
STA 6827  Stochastic Processes II  3 
STA 6876  Theory of Time Series  3 
STA 6576  Theory of Nonparametric Statistics  3 
STA 6934  Limit Theory of Statistics  3 
STA 6934  Survival Analysis  3 
The Department typically offers three of these elective courses every year.
1. All doctoral students must pass both the department's master's theory and applied comprehensive exams.
2. All students must pass the department's Qualifying Examination, which consists of two parts.
 The Part I exam tests knowledge of basic statistical tools commonly needed to develop a dissertation in statistics. Students must pass written examinations in two of the following three topic areas:
 Probability Theory
 Statistical Inference
 Theory of Linear Models

The Part II examination consists of
 a typewritten report which identifies a welldefined research problem, summarizes the appropriate literature, and presents some ideas for solving this problem.
 an oral defense of this report.
3. Students must pass a final oral defense of their dissertation.
For more information, consult the graduate
student handbook and the current listing of graduate courses.