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/

Facilities for Graduate Work

Support facilities for work in computational science, engineering, and mathematics include the Kuehne Physics Mathematics Astronomy Library, the Mallet Chemistry Library, the Walter Geology Library, the Perry-CastaƱeda Library, and the Life Science Library. Extensive computing facilities are available, including the POB scientific visualization laboratory and an Ethernet network supporting more than 300 general-purpose Linux, SGI, IBM, and Apple workstations. Other computational resources include several distributed memory computer clusters, each with between 16 and 256 cores. Faculty members, research staff, and graduate students also have access to large-scale supercomputing resources of the Texas Advanced Computing Center (TACC).

Areas of Study

Graduate study in computational science, engineering, and mathematics comprises three areas: applicable mathematics, numerical analysis and scientific computation, and mathematical modeling and applications. Within these broad areas, the student may take courses and conduct research in numerical analysis and scientific computing, applicable mathematics, computational mechanics and physics, parallel computing and computer architecture, and mathematical modeling, and in supporting areas in engineering and science that involve mathematical modeling of physical phenomena and engineering systems.

Graduate Studies Committee

The following faculty members served on the Graduate Studies Committee in the spring semester 2017.

Todd J Arbogast
Ivo M Babuska
Chandrajit L Bajaj
Efstathios Bakolas
Michael Baldea
William Beckner
George Biros
Tan T Bui
Luis A Caffarelli
James R Chelikowsky
Michael Arthur Cullinan
Clinton N Dawson
Mojdeh Delshad
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 A Henkelman
Marc A Hesse
Thomas J Hughes
Loukas F Kallivokas
Chad M Landis
Dmitrii E Makarov
Edward M Marcotte
Mark E Mear
Robert D Moser
Peter Mueller
J T Oden
Keshav K Pingali
William H Press
Kui Ren
Gregory J Rodin
Marissa Nichole Rylander
Michael S Sacks
Ufuk Topcu
Yen-Hsi Tsai
Robert A Van De Geijn
Philip L Varghese
Zheng Wang
Rachel A Ward
Mary F Wheeler
Thomas Yankeelov
Ali E Yilmaz

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, or chemistry.