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University of Texas at Dallas
Graduate Program in Computer Engineering
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Contact Information:
Computer Engineering Program, MS EC33
800 W Campbell Road
Richardson, TX 75080-3021 USA


Phone: 1-972-883-4663
Fax: 1-972-883-2710

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 Program Overview   study in america

The MS and PhD degrees in Computer Engineering emerged as a bridge between the increasingly overlapping disciplines of Computer Science and Electrical Engineering. The MSCE degree program provides intensive preparation for engineers who seek knowledge and skills necessary for the design of complex systems comprised of both hardware and software components. It has a heavy emphasis on the design of high-speed and complex hardware and highly reliable and time-critical software systems.

It is designed to serve the needs of engineers who wish to continue their education. Courses are offered at a time and location convenient for the student who is employed on a full-time basis.

Master of Science in Computer Engineering (MSCE) Degree Requirements
The university's general degree requirements are discussed in the University of Texas at Dallas Graduate Catalog. The MSCE requires a minimum of 33 semester hours.

The MSCE program has both a thesis and a non-thesis option. All part-time MSCE students will be assigned initially to the non-thesis option. Those wishing to elect the thesis option may do so by obtaining the approval of a faculty thesis supervisor. All supported students are required to participate in the thesis option. The thesis option requires six semester hours of research, a written thesis submitted to the graduate school, and a formal public defense of the thesis. The supervising committee administers this defense and is chosen in consultation with the student's thesis advisor prior to enrolling for thesis credit. Each student must take four required courses:
Microprocessor Systems, Computer Architecture, VLSI Design, and Advanced Operating Systems.

Required courses must be passed with a grade of B or better. Approved electives must be taken to make a total of 33 hours. These courses must be at 6000 level or higher from computer engineering, electrical engineering, computer science and telecommunications engineering curricula with the approval of the advisor. It is highly recommended that two of these electives be chosen from the following list:
• Testing and Testable Design
• Computer Arithmetic
• Real-Time Systems
• Performance of Computer Systems and Networks
• Compiler Construction
• Design and Analysis of Reconfigurable Systems
• Design Automation of VLSI Systems
• Distributed Computing
• Synthesis and Optimization of High Performance Systems
• DSP Architectures

PhD Requirements
The minimum number of semester credit hours required for the doctoral degree is 90 semester credit hours beyond a bachelor's degree in Computer Engineering or a related field. These credits must include at least 30 semester hours of graduate-level courses beyond the bachelor's degree and a doctoral dissertation. However, a student's supervising committee may impose course requirements that are necessary and appropriate for the student's research program. It is expected that MS degree students planning to enter the proposed doctoral program will take most of the courses as part of their MS degree requirements.


 Admissions   study in america

The student entering graduate studies in the Computer Engineering program should meet the following guidelines:
• An undergraduate preparation equivalent to a baccalaureate in computer science or electrical engineering from an accredited engineering program.
• A grade point average in upper-division quantitative course work of 3.0 or better on a 4-point scale.
• GRE examination scores of 500, 700 and 600 for the verbal, quantitative and analytical components, respectively, or 1800 for the total score is advisable.

Applicants must submit three letters of recommendation from individuals able to judge the candidate's probability of success in pursuing master's study. Applicants must also submit an essay outlining the candidate's background, education and professional goals.

Students from other engineering disciplines or from other science and math areas may be considered for admission to the program on a case-by-case basis; however some additional coursework may be necessary before starting the master's program.


 Highlights   study in america

  • Students can concentrate studies in computer systems, computer architecture or VLSI systems
  • Thesis and non-thesis option available
  • Research facilities include laboratories for digital systems, digital signal processing and distributed computing

 Program Facts   study in america

Program Founded 1999
Program Start Dates Aug, Jan, May
Expected Length Master's 2 years
Expected Length PhD 3 - 4 years
# of Faculty 18
% Highest Degree in Field 100%
# Endowed Chairs/Profs 0
Annual Research Funding US$7,000,000

 Study Options   study in america

part-time, day or evening classes, co-op/work internships, assistantships, fellowships


 Student Profile - Masters   study in america

Students Applied/yr n/a
Students Accepted/yr n/a
Students Enrolled/yr n/a
Total Program Enrollment 55
# of International Students 9

 Student Profile - Doctorate   study in america

Students Applied/yr n/a
Students Accepted/yr n/a
Students Enrolled/yr 2
Total Program Enrollment 9
# of International Students 4

 Admissions at a Glance   study in america

Application Fee US$50 ($100 int'l)
GRE Score 1800 (combined)
Domestic Student Application Deadlines:
Jul 1 (fall admission), Nov 1 (spring admission), Apr 1 (summer admission)

International Student Application Deadlines:
May 1 (fall admission), Sept 1 (spring admission), Mar 1 (summer admission)

Minimum English Requirements:
TOEFL 550 (pbt), 213 (cbt)

 Annual Expenses (in US$)   study in america

In-State Student Tuition:
Master's $7,334 including fees
PhD $7,334 including fees
Out-of-State Student Tuition:
Master's $13,164 including fees
PhD $13,164 including fees
International Student Tuition:
Master's $13,364 incl. fees
PhD $13,364 incl. fees

 Expenses and Financial Support   study in america

Graduate tuition at UT Dallas is approximately US$7,000 per year for Texas residents and US$12,000 per year for out-of-state and international students. Teaching and research assistantships are available to qualified students on a limited basis. The departments typically make awards after admission to the program.


 Buildings and Facilities   study in america

The Erik Jonsson School of Engineering and Computer Science has developed a computational facility consisting of a network of Sun servers and Sun Engineering workstations. All systems are connected via an extensive fiber-optic Ethernet and, through the Texas Higher Education Network, have direct access to most major national and international networks. In addition, many personal computers are available for student use.

The Engineering and Computer Science Complex provides extensive facilities for research in microelectronics, telecommunications and computer science and engineering.

The Digital Systems Laboratory includes workstations, PCs, FPGA development systems and a wide spectrum of commercial and academic design tools to support graduate research in computer engineering. In the Digital Signal Processing Laboratory, several multi-CPU workstations are available for simulation experiments. Hardware development facilities for real-time experimental systems are also available and include microphone arrays, active noise controllers, speech compressors and echo cancellers. The Distributed Computing Laboratory has PCs running Linux to support network simulation using discrete-event simulation packages.

The Hardware/Software Co-design Laboratory has many workstations and PCs with DSP modules to support the experiments for various implementations in DSP and communications.

In addition to the facilities on campus, cooperative arrangements have been established with many local industries to make their facilities available to UT Dallas graduate engineering students.


 International Students   study in america

International Student Services Office staff provide individual counseling as well as group workshops to help international students understand UT Dallas policies and comply with Immigration and Naturalization Services regulations. The office can be reached at ISSOcurrent@utdallas.edu or 1-972-883-4189.


 Research Areas   study in america

Electrical Engineering:
• Adaptive signal and array processing methods
• All-optical network architecture and protocols
• Communication systems
• Design of ellipsometric instrumentation
• Digital and adaptive signal processing
• Electromagnetics & lasers
• Electronic material
• Fiber and integrated optics
• Modulation and coding
• Photonics, including Raman amplification in fibers, nonlinear fiber optics and optical switching and routing
• Plasma science, ion implementation and materials processing
• Plasmas used in semiconductor device processing
• Reconfigurable and adaptive computing
• Semiconductor heterostructures and devices
• Speech processing
• Systems theory and applications
• Systems, signals, signal processing and system identification
• Techniques for the design of energy-efficient digital systems
• VLSI design
• Wireless communications

Computer Science:
• Algorithms (Analysis, Design, Distributed)
• Algorithms and complexity
• Algorithms and data structures
• Artificial intelligence
• Combinatorial optimization
• Computational logic, including optimization and learning
• Digital signal processing
• Groupware
• High-speed communication networks
• Implementation, semantics and applications of programming languages
• Modeling, design and analysis of telecommunications networks and protocols
• Parallel and distributed operating systems
• Relational programs
• Software engineering
• Software testing and reliability
• Stochastic modeling
• Using computers to aid the design of large complex systems

Please review faculty research summaries at:
ecs.utdallas.edu/research/summaries-web.pdf.


 Faculty   study in america

  • Balsara, P. T. PhD, Penn State University
  • Bhatia, D. K. PhD, University of Texas at Dallas
  • Cantrell, C. PhD, Princeton University
  • Cobb, J. PhD, University of Texas at Austin
  • Kiasleh, K. PhD, University of Southern California
  • Nourani, M. PhD, Case Western Reserve University
  • Page, I. PhD, Brunel University, UK
  • Panahi, I. PhD, University of Colorado at Boulder
  • Pervin, W. PhD, University of Pittsburgh
  • Prakash, R. PhD, Ohio State University
  • Sangireddy, R. PhD, Iowa State University
  • Sha, E. PhD, Princeton University
  • Venkatesan, S. PhD, University of Pittsburgh
  • Wang, Y. PhD, University of Saskatchewan
  • Zhang, K. PhD, University of Brighton, UK
  • Zhang, Y. PhD, University of Arizona
  • Zheng, S. Q. PhD, University of California, Santa Barbara
  • Zhou, D. PhD, University of Illinois

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