This is an archived copy of the 2020-21 catalog. To access the most recent version of the catalog, please visit http://catalog.utexas.edu/.

Statistics

Master of Science in Statistics
Doctor of Philosophy

For More Information

Campus address: Gates Dell Complex (GDC) 7.504, phone (512) 232-0693, fax (512) 475-8297, campus mail code: D9800

Mailing address: The University of Texas at Austin, Graduate Program in Statistics, Department of Statistics and Data Sciences, 2317 Speedway Stop D9800, Austin TX 78712

E-mail: vkeller@austin.utexas.edu

URL: https://stat.utexas.edu/graduate

Facilities for Graduate Work

The Department of Statistics and Data Sciences is located in the Gates Dell Complex, which houses classrooms, faculty and administrative offices, and a statistical consulting center. The department offers campus-wide programming with the assistance of over 100 associated faculty members in nine colleges and schools, the Population Research Center, and the Texas Advanced Computing Center. The department supports a computer lab for undergraduate and graduate courses, statistical consulting courses, a lecture series, an annual summer statistics institute, short courses on statistical software, and a graduate fellows program for students seeking consulting experience.

Areas of Study

Graduate degree candidates are expected to develop broad competence in the discipline as a whole as well as expertise in their chosen area of concentration. The Master of Science in Statistics is a two-year program that offers advanced training for students in classical and modern statistical methods. The program is designed for students preparing for careers in statistical professions, as well as those seeking additional statistical training while pursuing a doctoral degree in another discipline. The PhD program is a four-year degree that focuses on training future researchers on theory and methods of statistics. Major emphases are placed on probability models and modern computational statistical tools. Throughout the program, students are exposed to central ideas of both Bayesian and classical approaches to inference. The program integrates the following substantive areas of application into the Program of Work: biology, computer science, economics, education, engineering, government, neuroscience, and psychology.

Graduate Studies Committee

The following faculty members served on the Graduate Studies Committee (GSC) in the spring 2020 semester.

Tasha Beretvas
J Eric Bickel
Catherine Calder
Carlos Marinho Carvalho
Lawrence K Cormack
Paul Damien
Betsy S Greenberg
John J Hasenbein
Stephen August Jessee
Timothy H Keitt
Tse-Min Lin
Antonio Linero
Lauren A Meyers
Douglas J Morrice
Peter Mueller
Jared Scott Murray
Marc A Musick
 Daniel A Powers
Paul Joseph Rathouz
Brian E Roberts
Maytal Saar-Tsechansky
Thomas W Sager
Abhra Sarkar
Purnamrita Sarkar
James G Scott
Thomas S Shively
Chandler W Stolp
Paul Von hippel
Stephen G Walker
Claus O Wilke
Sinead Williamson
Mingyuan Zhou
Corwin Zigler