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

Location(s): Brookings Main Campus

View of a person working at a desk with paper and a laptop.

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 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 receive a multidisciplinary education combining the curriculums of the Mathematics and Data Science specializations.

Available Options for Graduate Degrees

Doctor of Philosophy

72 Credit Plan

Core Requirements

CSS, MATH, or STAT Electives (Must be approved by advisor) Credits: 9
CSS 898D - Dissertation (COM) Credits: 1-36 (33 credits required)
MATH 515 - Advanced Linear Algebra (COM) Credits: 3
MATH 625 - Advanced Calculus Credits: 3
MATH 741 - Measure and Probability Credits: 3
STAT 684 - Statistical Inference I Credits: 3
STAT 685 - Statistical Inference II Credits: 3
STAT 686 - Regression Analysis I Credits: 3
STAT 687 - Regression Analysis II Credits: 3
STAT 715 - Multivariate Analysis I Credits: 3
STAT 721 - Statistical Computing and Simulation Credits: 3
STAT 779 - Advanced Statistics Synthesis Credits: 1

Select from the following

Select two credits from the following courses. Credits: 2

CSS 890 - Seminar (COM) Credits: 1
GE 701 - Research Colloquium 1 Credits: 1
GE 702 - Research Colloquium 2 Credits: 1

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)

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 .