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Jun 06, 2026
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DRAFT 2026-2027 Graduate Catalog
Computational Science and Statistics (Ph.D.) - Mathematics Specialization
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Program Coordinator/Contact
Eun Heui Kim, Department Head
Donald Vestal, Associate Professor and Graduate Coordinator
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hall 209, Box 2225
605-688-6196
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 Mathematics Specialization will emphasize curriculum and research programs related to development of computational strategies for modeling and analysis that incorporates large and complex datasets.
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Available Options for Graduate Degrees
Doctor of Philosophy Select from the following
Select two credits from the following courses. Credits: 2 Courses Supporting the Ph.D. Program
Students may apply up to 24 credits of coursework from a previous M.S. degree to the Ph.D. requirements, subject to approval by the student’s graduate advisory committee. 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 iBT: 4.5 TOEFL Essentials: 9.5 IELTS: 6.5 Duolingo: 115 - Three letters of recommendation from individuals familiar with the applicant’s academic performance, research potential, or professional experience (such as faculty members, research supervisors, or employers in a relevant field)
- Statement of research interests and intent, clearly outlining the proposed area of research
- Official transcripts from all previous academic institutions
- Current resume or curriculum vitae (CV)
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Return to: Programs and Degrees (Listed Alphabetically by Degree)
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