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Dec 22, 2024
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2021-2022 Graduate Catalog [Archived Catalog]
Computational Science and Statistics (Ph.D.) - Data Science Specialization
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Program Coordinator/Contact
Kurt D. Cogswell, Department Head
Donald Vestal, Associate Professor/Graduate Coordinator
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hallg 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.
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.
Course Delivery Format
Courses will typically be delivered in on-campus classrooms, with occasional courses offered online.
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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: 6.5
Duolingo: 115
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