Computational Science, Engineering, and Mathematics

Master of Science in Computational Science, Engineering, and Mathematics
Doctor of Philosophy

For More Information

Campus address: Peter O'Donnell Building (POB) 4.102A, phone (512) 232-3356, fax (512) 471-8694; campus mail code: C0200

Mailing address: The University of Texas at Austin, Graduate Program in Computational Science, Engineering, and Mathematics, 201 East 24th Street C0200, Austin TX 78712-1229

E-mail: camgrad@ices.utexas.edu

URL: http://www.ices.utexas.edu/graduate-studies/

Overview

The program is unique in its interdisciplinary emphasis. Faculty are drawn from a large number of academic departments representing five schools and colleges. The program is designed for outstanding students who desire expertise in multiple disciplines and are willing to take on new challenges by working alongside faculty involved in research at the forefront of computational science.

Areas of Study

Graduate study in computational science, engineering, and mathematics comprises three areas: (1) applicable mathematics, (2) numerical analysis and scientific computation, and (3) mathematical modeling and applications. Within these broad areas, the student may take courses in applied mathematics and statistics, data science, numerical analysis and scientific computing, computational mechanics and physics, parallel computing and computer architecture, and mathematical modeling, and in supporting areas in science and engineering that involve mathematical modeling of physical, biological, social, or engineered systems. Students perform research in a broad range of areas, including scientific computing, uncertainty quantification, machine learning, numerical analysis, optimization, visualization, computational medicine, computational geosciences, computational materials, computational life sciences, computational physical sciences, computational engineering, and many more.

Facilities for Graduate Work

The Institute for Computational Engineering and Sciences (ICES) provides space and supporting resources for work in computational science, engineering, and mathematics. Extensive computational facilities include an Ethernet network supporting hundreds of  general-purpose Linux workstations, and about 10 distributed memory computer clusters with between 64 and 1344 cores each. Faculty members, research staff, and graduate students also have access to large-scale supercomputing resources of the Texas Advanced Computing Center (TACC) and the POB scientific visualization laboratory. Also available are the Kuehne Physics Mathematics Astronomy Library, the Mallet Chemistry Library, the Walter Geology Library, the Perry-Castañeda Library, and the Life Science Library. 

Graduate Studies Committee

The following faculty members served on the Graduate Studies Committee in the spring 2019 semester.

Todd J Arbogast
Ivo M Babuska
Chandrajit L Bajaj
Michael Baldea
William Beckner
George Biros
Fabrizio Bisetti
Tan Thanh Bui
Luis A Caffarelli
Joshua Tsukang Chang
James R Chelikowsky
Clinton N Dawson
Alexander A Demkov
Leszek F Demkowicz
Inderjit S Dhillon
Ron Elber
Bjorn Engquist
Sergey B Fomel
John Timothy Foster
Irene M Gamba
Omar Ghattas
Oscar Gonzalez
Patrick Heimbach
Graeme Andrew Henkelman
Marc Andre Hesse
Thomas J Hughes
Moriba Jah
Chad Matthew Landis
Dmitrii E Makarov
Edward M Marcotte
Per-Gunnar J Martinsson
Mark E Mear
Robert D Moser
Peter Mueller
J T Oden
David Paydarfar
Keshav K Pingali
William H Press
Manuel Karl Rausch
Kui Ren
Gregory J Rodin
Marissa N Rylander
Michael S Sacks
Karl W Schulz
Takashi Tanaka
Ufuk Topcu
Yen-Hsi Tsai
Robert A Van De Geijn
Philip L Varghese
Rachel A Ward
Mary F Wheeler
Karen E Willcox
Thomas Yankeelov
Song Yi
Ali E Yilmaz
Renato Zanetti

Admission Requirements

Students entering the program are expected to have an undergraduate degree in engineering, computer sciences, mathematics, or a natural science such as biology, physics, chemistry, or geology.