Doctoral Degree

Electrical Engineering (Ph.D.)

Basic Degree Information/Description:

The Department of Electrical Engineering offers advanced coursework integrated with research leading to the Doctor of Philosophy degree in Electrical Engineering. The program has emphases in Signals and Systems (communications, signal processing, digital systems, and control). The Ph.D. in Electrical Engineering will be awarded to candidates who have displayed an in-depth understanding of the subject matter and demonstrated the ability to make an original contribution to knowledge in their field of specialty.

Why pursue a Ph.D. in Electrical 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 project to prepare students for leadership roles in engineering careers with industry, government, or educational institutions.
  • Our 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:

Normally, a student must hold a master's degree before being granted admission to the program.  Some exceptionally talented students may enter the Doctor of Philosophy directly upon receiving a bachelor's degree in electrical engineering, with the special approval of the Electrical Engineering Doctoral Studies Committee.

Specific Degree Requirements:

Applicants without a master's degree program must have a grade point average of 3.3 or better in the last 60 semester credit hours of undergraduate level coursework in electrical engineering.  Applicants with a master's degree must have a grade point average of 3.3 or better in their master's degree program. Applicants with a master's degree in electrical engineering or in a related field may apply a maximum of 30 semester credit hours of previously earned graduate credit toward their doctoral degree.  Each student's transcript will be evaluated by the Doctoral Studies Committee and credit will be designated on a course-by-course basis to satisfy the formal coursework requirements of the degree.  A maximum of 6 semester credit hours may be awarded for a master's thesis.

Transcripts: Official transcripts from all institutions attended.  All international transcripts must be recorded in English or officially translated to English.

Graduate Studies Application: Yes

Department Application: No

Test Scores: General GRE Required- A satisfactory score, as evaluated by the Doctoral Studies Committee for Electrical Engineering, is required on the Graduate Record Examination (GRE).  The applicant's performance on the GRE will be considered with other criteria when making an admissions or competitive scholarship decision but will not be used as the sole criterion for consideration of the applicant or as the primary criterion to end consideration of the applicant.

Resume or CV: Yes

Letters of Recommendation: 3 L/R Required-attesting to the applicant's readiness for doctoral study

Statement of Purpose: Yes- Statement of research experience, interests and goals.

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.

Full-Time or Part-Time Attendance Requirement: Full-Time or Part-Time

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Application Deadline Dates

Contact Information:

Graduate Advisor of Record: David Akopian, Ph.D.
Email Address: david.akopian@utsa.edu
Telephone: (210) 458-7718

Degree Website: http://ece.utsa.edu/programs/graduate/index.html

Degree Catalog Link: http://www.utsa.edu/gcat/chapter6/COE/ecedept.html#phdee

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Career Options Available for a Ph.D. Electrical Engineering Graduate:

  • After graduation, our M.S. and Ph.D. 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.

Funding Opportunities:

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 (2 PM to 5 PM) and another half in the evening (5 PM to 8:15 PM).

Research taking place in the Ph.D. Electrical Engineering program:

The research in our graduate programs at the Department of Electrical and Computer Engineering mainly focuses on five concentrations:

  • Communications:

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.