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This is an archived copy of the 2014-15 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: Will C. Hogg (WCH) 2.104, phone (512) 232-0693, fax (512) 232-1045, campus mail code: G2500

Mailing address: The University of Texas at Austin, Graduate Program in Statistics, Division of Statistics and Scientific Computation, 1 University Station G2500, Austin TX 78712

E-mail: vicki.keller@cns.utexas.edu

URL: http://ssc.utexas.edu/for-graduate-students

Facilities for Graduate Work

The Division of Statistics and Scientific Computation is located in the Will C. Hogg Building, which houses classrooms, faculty and administrative offices, and a statistical consulting center. The division 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 division supports a computer lab for undergraduate and graduate courses, statistical consulting courses, a distinguished 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 2013.

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
David P Morton
Peter Mueller
Marc A Musick
Jonathan William Pillow
Daniel A Powers
William H Press
Pradeep Ravikumar
Brian E Roberts
Maytal Saar-Tsechansky
Thomas W Sager
Sahotra Sarkar
James G Scott
Thomas S Shively
Chandler W Stolp
Paul Von Hippel
Claus O Wilke

 


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