2019-2020 Graduate Catalog 
    Aug 05, 2020  
2019-2020 Graduate Catalog [Archived Catalog]

Computational Science and Statistics (Ph.D.) - Statistics Specialization

Program Coordinator/Contact

Kurt D. Cogswell, Department Head
Donald Vestal, Associate Professor/Graduate Coordinator
Department of Mathematics and Statistics
Architecture, Mathematics and Engineering 209, Box 2220C

Program Information

The Computational Science and Statistics Ph.D. program is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest in a wide variety of applied and theoretical contexts.  The Statistics Specialization will emphasize curriculum and research programs focusing on problems at the boundaries of effectiveness of current modern statistical methods.  Students in this specialization will received a multidisciplinary education combining the curriculums of the Mathematics and Data Science specializations.

Course Delivery Format

Courses will typically be delivered in on-campus classrooms, with occasional courses offered online.

Available Options for Graduate Degrees

Doctor of Philosophy 60 Credit Plan

Additional Graduation Requirements

Students must also pass qualifying exams based on the program’s core sequences, and written and oral comprehensive exams as designed by the student’s advisory committee.

Additional Admission Requirements

GRE: Not required
TOEFL: Department requirement of 575 paper-based, 90 Internet-based
IELTS: 6.0

General Requirements

Graduate students must consult with their advisor before registering for graduate coursework.

For additional information refer to the Doctor of Philosophy Degree Requirements .