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The primary goals of this Portfolio program are to:
  1. Offer a cohesive course of study for graduate students seeking to apply scientific computation tools to their research.
  2. 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.
  3. Leverage the existing expertise of faculty members in departments across UT whose research focuses on the application of scientific computation methods.

Students must complete 12 semester hours of courses as follows in Course Requirements. 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.

How to Apply

CLICK HERE to access the online application.

Once you submit the above online form, you must email the following documents to stat.portfolios@austin.utexas.edu in order to finish your application:

  1. A signed statement (1-2 sentences) from your thesis or graduate program advisor stating their approval of you entering the portfolio program.
  2. Your own written statement (1 paragraph) about how this portfolio would contribute to your overall academic goals.

Applications will be reviewed on a rolling basis. If applying before completing the first semester as a graduate student, the student must have a minimum cumulative undergraduate GPA of 3.0. If applying after completion of at least one full semester as a graduate student, the student must have a minimum cumulative graduate GPA of 3.0.

Course Requirements


SDS 392 Intro to Scientific Programming (Students who are already competent in C and Fortran may opt to take an additional elective in place of this course. Differential and Integral Calculus (e.g., M 408C) is a prerequisite for this course.)

SDS 394 Scientific/Technical Computing (Multivariable Calculus (e.g., M 408D) is a prerequisite for this course.)


Choose one elective: Click here for the current list of approved electives.


Under the supervision of a portfolio facutly supervisor, the student must successfully complete a research project as part of a 3-credit independent study course that is focused on applying computational techniques to the student's research area of interest.

The independent study should be conducted after all other coursework is complete or concurrently with the last program course.

Any qualified UT faculty member can be the supervisor. All students must present their final projects at the Portfolio Program's end-of-semester colloquium.

For more information and to register for the SDS research course, download the Research Registration Form.

The deadline to submit the Research Registration Form is one week prior to the first class day of the semester you will be working on the project.  Once approved, we will register you in SDS 389R under your faculty supervisor.

Students completing their research project must use the official Cover Page Template.


Q: What are the requirements?

A: You will complete 12 semester hours, including an independent research project, as specified in the coursework guidelines. You must earn a letter grade of B or better in all courses required for certification and maintain an overall GPA of 3.5 or better in courses counting towards the Portfolio.

Q: How do I sign up?

A: Fill out the online application and email the related documents (see instructions above). Students are encouraged to apply early in their course of graduate study. The SDS department can help each student choose an appropriate course sequence.

Q: Can Portfolio courses also fulfill my graduate degree requirements?

A: Depending upon the student's degree program, courses taken towards the portfolio may or may not count towards their degree.

Q: Will the portfolio appear on my transcript?

A: Yes. Your official UT transcript will state that you completed the Graduate Portfolio Program in Scientific Computation.

Contact and Office Hours

Have more questions about this portfolio or the application process?  Contact us to schedule a meeting.

For additional information, email Dr. Bindu Viswanathan at stat.portfolios@austin.utexas.edu.