M.S. Electrical Engineering
The Electrical and Computer Engineering Department offers advanced practice oriented graduate level education and research concentrations in the following:
Computer Architectures and Microelectronics
Concentration in Computer Engineering and Microelectronics emphasizes Embedded Systems and System-on-a-Chip design. This course sequence provides students with advanced knowledge in current practices of computer design, ASIC design, development, and software level testing, hardware realization, and integrated circuit layout. Digital VLSI Design considers the device parameters and fabrication of MOS integrated circuits for high-speed digital data computation and communication. Application areas include system-chip design methodologies using reusable intellectual property, migration of existing integrated circuit designs to new fabrication processes, minimization of propagation delay in high-speed digital circuits, and thermal dissipation.
Digital Signal Processing and Digital Data Communication
The focus of the Digital Signal Processing and Digital Data Communication concentration is digital data transfer using computer networks, modulation, and signal processing. Research includes filtering, modulation, and detection of multidimensional signals in the presence of noise, speech processing, voice recognition, performance evaluation of local area and wireless networks, broadband networks, and protocols. Application areas include speech telecommunications, cellular and personal communication services, speech and image compression and recognition, software-defined radios, and receiver architectures in fading channels.
Intelligent Systems and Control
The Intelligent Systems and Control concentration focuses on intelligent and interactive systems and analysis and design of control systems. Research in intelligent systems includes expert systems and their applications, human-computer interaction, intelligent multimedia and intelligent tutoring systems, neural networks, and fuzzy logic applications. Mathematical concepts of control systems including robust and optimal control, and controller hardware and software implementation for dynamic systems are also active areas of research in systems and control. Control system applications in spacecraft, robots, and other physical processes are investigated.
Students can concentrate in any one of the above areas by taking appropriate courses and conducting applications research leading to a master’s or doctoral degree. Interdisciplinary research with other branches of engineering, science, and mathematics are encouraged.
Active areas of research:
|System–on–a–chip||Speech processing||Network security|
|Intelligent interactive multimedia||Microelectronics and VLSI||Shipboard crane control|
|Brain–machine interface||Adaptive control||Autonomous robots|
For graduation, a minimum of 30 semester hours of graduate-level coursework is required.
Students pursuing the thesis option must complete 24 semester hours of graduate-level coursework and complete 6 semester hours of thesis.
Students completing the non-thesis option must complete 27 semester hours of graduate-level coursework and 3 semester hours of a research project, or another 3 semester hour graduate-level course (with permission from the Department). Regardless of which option a student is completing, the following courses are required for the Master’s of Science Electrical Engineering curriculum:
- ENGR 5022 Engineering Analysis and Application
- ENGR 5033 Probability and Random Processes
- ECE 5514 Digital Signal Processing and Analysis
- ECE 5612 Advanced Microprocessor Systems
In addition to submitting an application with the required supporting material, other admission requirements include:
- An undergraduate engineering degree in engineering, from an ABET-accredited or equivalent institution. Students with a strong background in physical sciences, biology, and mathematics may also be considered for admission.
- At least a 3.0 (on a 4.0 scale) undergraduate GPA
- A minimum score of 450 verbal, 650 quantitative, and 4.5 analytical on the GRE
- For applicants whose native language is not English – a minimum score of 213 on the computer-based test, 550 on the paper-based test, and 79 on the internet-based test on the TOEFL, or a 6.5 on the academic version of the IELTS.
Admission procedures will be guided by the standard requirements for admission for graduate programs in the College of Engineering and the general requirements of the Graduate School of Temple University. A certain minimum competency in engineering subject matter and competency in the biological and physical sciences will be expected from candidates
For more information, please contact the College of Engineering’s Office of Graduate Studies at 215-204-7800 or email@example.com.
To request an information packet, please click here.