Computer Engineering (M.S.)
Basic Degree Information/Description:
The Master of Science degree in Computer Engineering is designed to offer the students the opportunity to prepare for leadership roles in careers with industry, government, or educational institutions. The students enrolled in the M.S. Degree program in Computer Engineering will have two different options to obtain their degree. They are: (1) Thesis option and (2) Non-thesis option. A thesis option is offered for students who want the opportunity to obtain expertise in research and who may be interested in pursuing the doctoral degree in computer engineering or electrical engineering. A non-thesis option is offered for students who want a practical industrial applications-oriented degree.
Why pursue an M.S. in Computer Engineering?
- The Ph.D. program in Electrical Engineering, M.S. program in Electrical Engineering, and M.S. program in Computer Engineering offer opportunities in both advanced course work and research projects to prepare students for leadership roles in engineering careers with industry, government, or educational institutions.
- Ours graduate programs stress both theoretical and practical aspects of Electrical and Computer Engineering by combining the teaching and research expertise of the University community with the resources of other San Antonio research institutions.
- The Graduate Faculty in Electrical and Computer Engineering are very active in conducting cutting-edge research projects which provide both research experiences and financial supports for our graduate students.
Admission Requirements and Deadlines
Admission requirements and pre-requisites:
A bachelor's degree in electrical or computer engineering from an ABET accredited institution of higher education or related field. A minimum grade point average of 3.0 on the last 60 semester credit hours of undergraduate studies is also required.
Graduate Studies Application: Yes
Department Application: No
Transcripts: Official transcripts from all institutions attended. All international transcripts must be recorded in English or officially translated to English.
Test Scores: General GRE Required
Resume or CV: No
Letters of Recommendation: No
Statement of Purpose: No
Minimum TOEFL Score (for International Applicants): 550 paper/79 internet
Minimum IELTS Score (for International Applicants): 6.5
Additional Requirements: International students and those with international degrees may be required to submit additional documents per our admissions policies and procedures. The Graduate School reserves the right to request any additional documents needed to fairly and consistently evaluate applicant credentials.
- The minimum number of semester credit hours required for the degree, excluding required coursework to remove admission deficiencies, is 30 for the thesis option and 33 for the nonthesis option.
- For a complete list of degree requirements please see the Graduate Catalog.
Application Deadline Dates
Domestic Applicants (Citizens and Permanent Residents):
Spring- November 1
Summer- April 1
Fall- July 1
Spring- September 1
Summer- March 1
Fall- April 1
Graduate Advisor of Record: Chunjiang Qian, Ph.D.
Telephone: (210) 458-5587
Degree Website: http://ece.utsa.edu/programs/graduate/index.html
Degree Catalog Link: http://www.utsa.edu/gcat/chapter6/COE/ecedept.html#msce
Career Options Available for an M.S. Computer Engineering Graduate:
- After graduation, our MS and PhD graduates are employed as engineers or researchers in research firms and industries.
- Some of our former doctorate students are working in universities as faculty members.
Course Scheduling and Offerings:
- This program is housed on UTSA’s Main Campus.
Our graduate courses are offered mostly in afternoon and evening. About half of courses are taught in the afternoon (2PM-5PM) and another half in the evening (5PM- 8:15PM).
Research taking place in the M.S. Computer Engineering program:
The research in our graduate programs at the Department of Electrical and Computer Engineering mainly focuses on five concentrations:
Fiber optic communications, fiber optic sensors, coding and error correction, control of communication networks, positioning and navigation algorithms, GPS, signal processing for communications, digital communications systems, wireless mobile communications, information theory, and signal detection and estimation.
Computer and Digital Systems:
Parallel and distributed computing, routing in computer networks, network intrusion detection, computer architecture, ASICs, RISC processors, microprocessor based systems, VLSI design and testing, CAD tools, HDL modeling and FPGA implementation, computer graphics hardware and software parallelism, visualization techniques, information science, optimization and forecasting, digital systems, multimedia and network processors, low power VLSI systems, and reconfigurable computing
Signal and Image Processing:
Signal and image processing, visual communication, and quantum information processing and communication, signals and systems, tomographic imaging, processing biomedical images FISH (Fluorescence In Situ Hybridization), theory of fast unitary transforms, robust linear and nonlinear filters, morphological image processing, statistical signal processing, Bayesian methods, sampling-based approaches.
Systems and Control:
Intelligent systems, neural networks and fuzzy systems, adaptive learning, data mining, networking, diagnosis and prognosis, health monitoring, and robotics and automation, Complex Systems, Computational Intelligence, System of Systems Engineering, Mechatronics, Neuro-fuzzy techniques, robotics and intelligent networks/systems, robust and adaptive control, stabilization of nonlinear systems, optimal control, homogeneous systems theory, aerospace systems and power plants.
Microelectronics and Microdevices:
This concentration area provides students with balanced training in theory and experimentation in the areas of analog and mixed signal integrated circuit design, microsystems technology (MEMS), RF and Microwave devices. Research emphasis covers such diverse topics as wireless transceivers, data converters, power management, VLSI, micromirror arrays, MEMS microwave devices, Bio-MEMS, photonic crystals, microfluidics, sensor arrays, microchemical reactors, micropropulsion and energy harvesting schemes. Graduates are well qualified to seek employment in semiconductor manufacturing, aerospace, telecommunications, petrochemical industry, food and chemical processing, microelectronics research and development, health care and other industries requiring analog circuitry, sensing schemes or the application of microdevices.
- For more research projects, please refer to our website http://ece.utsa.edu/research/faculty-research.html