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Updates

It is our intention that each PhD Statistics student will be fully financially supported for four academic years, the duration of his/her program of study. There are in general three types of support:

Academic Employment

Academic employment will consist of an assistantship with either teaching or research duties that provides tuition remittance and a stipend adequate for living in Austin. Students are expected to maintain a full course load and to devote effort primarily to their students and assigned duties. Support is subject to satisfactory academic progress and satisfactory performance of assistantship duties. 
  • Teaching Assistant - Appointed by the SDS Department to provide classroom assistance to a faculty member assigned to a SDS course. 
  • Graduate Reasearch Assistant  - Selected by individual faculty who have their own grants to provide research assistance to that faculty member.
  • Assistant Instructor -Appointed by the SDS Department to teach undergraduate classes and provide instruction under the supervision of a SDS instructional faculty member.

Teaching and graduate research assistantships provide valuable experience and financial support for graduate students. But employment in a non-academic role at the university or in the community is also an option for many graduate students.

Graduate Fellowships

The PhD Statistics program actively encourages and supports students to take advantage of the recruitment fellowships offered by the Graduate School at UT Austin. These awards typically provide a fellowship of $28,000-36,000 as well as stipends toward medical insurance expenses, tuition and fees. Fellowships currently directed toward the recruitment of underrepresented groups include:

 

Grant and other Funds

The Biomedical Big Data (BBD) Training Grant is an innovative graduate program that will help train a new generation of scientists with expertise in statistics, computer science, and biology in order to solve important public health problems involving big data and improve overall health. It is an NIH-funded program that provides predoctoral training for students engaged in big data research in statistics, computer science, and biology at The University of Texas at Austin. For details, click here.

 

Other funding opportunities are also avliable in various format such as