Program Overview
Program Type
Graduate Portfolio
Credit Hours
12
Primary Goals
- Offer a cohesive course of study for graduate students seeking to apply scientific computation tools to their research.
- Provide a forum for graduate students from across UT to work together and exchange ideas regarding the application of computational methods to a broad range of areas.
- Leverage the existing expertise of faculty members in departments across UT whose research focuses on the application of scientific computation methods.
Highlights
Students must complete 12 semester hours of courses as noted in Course Requirements, including an independent research project, as specified in the coursework guidelines. The Statistics and Data Sciences (SDS) Department can help each student choose an appropriate course sequence.
Students are expected to obtain the consent of a Portfolio Adviser (selected from the list of faculty members affiliated with SDS) soon after entering the program to advise their course selections and guide their independent study.
Your official UT transcript will state that you completed the Graduate Portfolio Program in Scientific Computation.