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

Location(s): Brookings Main Campus

Graphic with data.

Program Coordinator/Contact

Eun Heui Kim, Department Head
Donald Vestal, Associate Professor/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 Data Science Specialization will emphasize curriculum and research programs that prepare graduates to support local, regional and national industry by analyzing large and complex datasets.

Course Delivery Format

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

Student Learning Outcomes

Students will understand mathematical and statistical models.
Students will be able to construct and apply standard mathematical and statistical models.
Students will be able to conduct research using appropriate software to implement these models.
Students will be able to disseminate the results of their research to others.
Students will be able to apply Argument Deconstruction in mathematics and statistics.

Available Options for Graduate Degrees

Doctor of Philosophy

60 Credit Plan

Core Requirements

CSS 898D - Dissertation (COM) Credits: 1-36 (33 credits required)
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 752 - Advanced Data Science Credits: 3

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: 90 Internet-based
TOEFL Essentials: 9.5
IELTS: 6.5
Duolingo: 115

Three letters of reference with one being from master’s advisor, a letter of research interest and intent with a focus on area of research interest, transcripts, and a resume.

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 .