This is an archived copy of the 2017-18 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: vicki.keller@cns.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 one hundred 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 in the spring semester 2017.

Paul C Adams
Susan N Beretvas
J Eric Bickel
Patrick L Brockett
Carlos Marinho Carvalho
Lawrence K Cormack
Paul Damien
Michael Daniels
Inderjit S Dhillon
Dragan Djurdjanovic
Betsy S Greenberg
John J Hasenbein
Stephen A Jessee
Timothy H Keitt
David A Kendrick
Tse-Min Lin
John E Luecke
Robert C Luskin
Lauren A Meyers
Douglas J Morrice
Peter Mueller
Marc A Musick
Daniel A Powers
William H Press
Brian E Roberts
Maytal Saar-Tsechansky
Thomas W Sager
Purnamrita Sarkar
Sahotra Sarkar
James G Scott
Thomas S Shively
Chandler W Stolp
Paul Von Hippel
Stephen G Walker
Claus O Wilke
Sinead Williamson
Mingyuan Zhou