Computer Science
Master of Science in Computer Science
Doctor of Philosophy
For More Information
Campus address: T. S. Painter Hall (PAI) 5.72B, phone (512) 471-9503, fax (512) 471-7866; campus mail code: D9500
Mailing address: The University of Texas at Austin, Graduate Program, Department of Computer Science, 1616 Guadalupe Street, Ste. 2.408, Austin TX 78701
E-mail: csadmis@cs.utexas.edu
URL: http://www.cs.utexas.edu/
Facilities for Graduate Work
To provide the most advanced resources for teaching and research, the Department of Computer Science manages its own network and system of more than 1,000 hosts.
A staff of fourteen, under the direction of the department's associate chair for operations, specifies, buys, installs, and maintains this computing infrastructure. Through accounts on the department's UNIX, Windows, and Macintosh workstations, students, faculty members, and staff have access to public laboratories and private equipment.
Many different computer systems are available for research use by faculty members and students in the department. The department operates a general-purpose high-throughput computing (HTC) Linux cluster with over 2,200 cores, Dell PowerEdge checkpoint servers, and a NetApp FAS3270 storage server with twenty-six terabytes. This cluster, as well as all public computing resources, are available to everyone via Condor, a resource management tool for widely distributed systems. There are several hundred Linux machines in public labs, and there are over 100 linux boxes on graduate desks. Several hundred other workstations of varying configurations and platforms are located in private research labs or on researchers' desks.
All departmental computers are networked together using one or ten Gigabits per second Ethernet. The network, managed and maintained by staff, consists of over 100 Cisco switches, with a Cisco 6513 serving as its point of presence and firewall. Network servers include the research-dedicated NetApp FAS3270 with twenty-six terabytes of storage and a NetApp FAS3270 with thirty-eight terabytes of RAIDed disk that is used for home directory service, as well as many other file servers, print servers, and communications servers.
Areas of Study
Graduate study in computer science is offered in the following areas: analysis of algorithms and programs; artificial intelligence; automated reasoning; communication protocols; compilers; computational biology; computational complexity; computational visualization; computer architecture; computer graphics; computer networks; cryptography; data mining; database management; distributed systems; fault-tolerant computing; formal methods; machine learning; mathematical software; mobile and ad hoc networks; natural language processing; neural networks; numerical analysis; operating systems; parallel programming; programming language design and implementation; randomized computation; real-time systems; robotics; scientific computing; secure computing; software construction from components; system modeling; theoretical computer science; and wireless networks.
Graduate Studies Committee
The following faculty members served on the Graduate Studies Committee in the spring semester 2013.
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J K Aggarwal Lorenzo Alvisi Chandrajit L Bajaj Dana H Ballard Don S Batory Alan C Bovik Alan K Cline William R Cook Michael D Dahlin Inderjit S Dhillon Ron Elber E Allen Emerson Donald S Fussell Anna Gal Vijay K Garg Joydeep Ghosh Mohamed G Gouda Kristen L Grauman Warren A Hunt Jr Lizy K John Adam R Klivans Simon S Lam Vladimir Lifschitz Calvin Lin Kathryn S McKinley Risto P Miikkulainen |
Daniel P Miranker Jayadev Misra Aloysius K Mok Raymond J Mooney J S Moore II Gordon S Novak Jr Zhigang Pan Dewayne E Perry Keshav K Pingali C Greg Plaxton Bruce W Porter William H Press Lili Qiu Vijaya Ramachandran Pradeep Ravikumar Vitaly Shmatikov Peter H Stone Robert A Van De Geijn Michael H Walfish Tandy Warnow Brent R Waters Andrew B Whinston Emmett Witchel Yin Zhang David I Zuckerman |
Admission Requirements
Most entering graduate students have degrees in computer science. Students with degrees in other areas may be considered for admission; if admitted, they may be required to take undergraduate courses in computer science, without credit toward a graduate degree, to satisfy background requirements.