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-Castañeda 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.
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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.