Computer Science
Master of Science in Computer Science
Doctor of Philosophy
For More Information
Campus address: Department of Computer Science
Gates Dell Complex (GDC)
The University of Texas at Austin
2317 Speedway, Stop D9500, Austin, TX 78712
Phone: 512.471.7316 Fax: 512.471.8885
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 thirteen, 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 2,000 cores, Dell PowerEdge checkpoint servers, ten GeForce GTX Titan Black GPUs, and a NetApp FAS3050C storage server with twenty-four 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 FAS3050 with twenty-six terabytes of storage and a NetApp FAS3270 with fifty 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 2015.
J K Aggarwal Lorenzo Alvisi Chandrajit L Bajaj Jason M Baldridge Dana H Ballard Don S Batory Alan C Bovik Alan K Cline William R Cook Inderjit S Dhillon Isil Dillig Thomas W Dillig Ron Elber E Allen Emerson Katrin E Erk Donald S Fussell Anna Gal Vijay K Garg Joydeep Ghosh Mohamed G Gouda Kristen L Grauman Warren A Hunt Jr Lizy K John Miryung Kim Adam R Klivans Simon S Lam |
Vladimir Lifschitz Calvin Lin Risto P Miikkulainen Daniel P Miranker Jayadev Misra Aloysius K Mok Raymond J Mooney Gordon S Novak Jr Zhigang Pan Dewayne E Perry Keshav K Pingali C Greg Plaxton Bruce W Porter William H Press Eric Price Lili Qiu Vijaya Ramachandran Pradeep Ravikumar Vitaly Shmatikov Peter H Stone Robert A Van De Geijn Paul E Vouga Brent R Waters Andrew B Whinston Emmett Witchel 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.