Electrical and Computer Engineering - Non-Thesis (MS)

Master’s Degree - Non-Thesis Program

This program is intended to satisfy the continuing education needs of working engineers and recent graduates who want to broaden their electrical and computer engineering foundation before starting an industrial career. Students who receive funding by the Department, at any point in their program, must take the thesis option and cannot do the non-thesis option.

A grade of B- or better is required for a course to count toward a degree requirement. A student who receives a grade less than B- must either take the course over to raise the grade, or take another course approved by his/her advisor to replace it in meeting the degree requirement.

Credit Requirements:

The non-thesis master’s program requires 30 credit hours of course work.

The 30-credit course program of each student must include:

Six (6) credits of electrical and computer engineering Foundation courses.
Twenty-four (24) credits of advanced technical courses (level 600 or above) related to the student’s area of interest. At least six (6) credits of these must be 800 level electrical and computer engineering courses and at most twelve (12) credits can bear non-ELEG/CPEG numbers.

Concentrations

Students in all Electrical and Computer Engineering graduate degree programs may elect to choose a concentration area of study. Concentrations are available in Computer Systems & Network Science, Signal Processing, Communications and Controls, Materials and Devices, Electromagnetics and Photonics, and Biomedical Engineering. Students selecting a concentration must meet the concentration requirements detailed below, in addition to meeting their general degree requirements. Concentrations are voluntary, and students selecting multidisciplinary or other specialized studies need not declare a concentration.

Concentration in Computer Systems

Students in the Computer Systems (CS) concentration focus on research and coursework in computer hardware, computer architecture, system software, high-performance computing, reliable computing, as well as emerging CS theories and applications.

Required Courses for Computer Systems:

A minimum of two courses from the following:

Concentration in Network Science

Students in the Network Science (NS) concentration focus on research and coursework in wired and mobile wireless networking, social networking, design and test of information management systems, data mining, as well as emerging NS theories and applications.

Required Courses for Network Science:

A minimum of two courses from the following:

Concentration in Signal Processing, Communications, and Controls

Students in the Signal Processing, Communications, and Controls (SPCC) concentration focus on research and coursework in multimedia signal processing, statistical and nonlinear signal processing, image processing, time-frequency analysis, wireless communications, information theory, coding, as well as emerging SPCC theories and applications. Students in the SPCC concentration must complete the following:

Concentration in Materials and Devices

Students in the Materials and Devices (MD) concentration focus on research and coursework in solid-state physics, semiconductor growth, device fabrication, and electromagnetic measurement and characterization.

Required courses:

A minimum of two courses from the following:

Concentration in Electromagnetics and Photonics

Students in the Electromagnetics and Photonics (EP) concentration focus on research and coursework in optics and electromagnetics, optoelectronic, microwave, millimeter-wave and terahertz devices and systems, device fabrication, and electro-magnetic measurement and characterization.

Required courses:

A minimum of two courses from the following:

Concentration in Biomedical Engineering

Students in the Biomedical Engineering (BME) concentration focus on research and coursework on biomedical applications of signal and image processing, control systems, imaging systems and photonics. These inclue medical imaging, systems and computational biology, bioinformatics and remote and virtual surgery.