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 (GSC) in the spring 2020 semester.
GSC list updated fall 2020 based on spring 2020 appointments. |
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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 Kevin Clarno 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 Feliciano Giustino 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 Jon I Tamir 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.