Master of Science in Electrical & Computer Engineering

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The M.S. in Electrical and Computer Engineering program provides students an opportunity to expand their skill sets in advanced and emerging topics of interest. The program also provides in-depth specialization in several areas, such as signal & image processing, computational intelligence and machine learning, power systems and renewable energy, discrete event systems, and virtual reality systems. Thesis and non-thesis (course-only) options are available, both of which require a total of 30 credits. For the thesis option, 9 of the 30 credits come from original research that culminates in a thesis. For the non-thesis option, all 30 credits come from (ten) courses. If approved by a graduate advisor or department head, 3 credits of the project may be used towards one course requirement.

Tracks

The program includes two tracks. Each has different course and graduation exit requirements which are outlined below.

Thesis Track: The thesis option requires the completion of 30 semester hours, 6-9 of which are in thesis research/engineering project.
Non-Thesis Track: The non-thesis option requires the completion of 30 semester hours of coursework.

Program Requirements

Required Courses: 9 s.h.

An approved graduate-level Math course - Math intensive course in Math or ECE dept. (approved by academic advisor) Credits: 3

Business course

Choose one course from among the following:

ENT 06506 - Corporate Entrepreneurship Credits: 3
EM 01501 - Engineering Economics Credits: 3
EM 01511 - Strategic Risk Management Credits: 3
EM 01512 - Quality in Engineering Management Credits: 3
EM 01513 - Engineering Decision Making Credits: 3
EM 01541 - Engineering Law and Ethics Credits: 3
MGT 06510 - Strategic Engineering Management Credits: 3
MGT 06666 - Managing Engineering Teams Credits: 3
MGT 06677 - Management Skills for Engineers Credits: 3
MIS 02526 - Project Management for Engineers Credits: 3

Engineering Computation Course

This course will be taken in addition to the 12-21 s.h. of Required Concentration Elective Coursework. Selected approved computation courses are indicated below with an asterisk. Students may choose one course from the courses indicated below or may select a computation intensive CS or ECE academic advisor approved course.

Required Concentration Elective Courses: 12-21 s.h.

Choose 21 s.h. (non-thesis track) or 12-15 s.h. (thesis track) of approved electives in consultation with the Academic Advisor. The eligible courses include, but are not limited to the following:

ECE 09504 - Special Topics in Electrical and Computer Engineering Credits: 1 to 3
ECE 09509 - Virtual Reality Systems Credits: 3
ECE 09510 - Advanced Alternate Energy Systems Credits: 3
ECE 09515 - Emerging Electricity Market Credits: 3
ECE 09517 - Technologies Towards Green Energy Future Credits: 3
ECE 09518 - Wind Energy System Planning and Operation Credits: 3
ECE 09521 - Fundamentals of Systems Engineering Credits: 3
ECE 09523 - Advanced Radar Systems Credits: 3
ECE 09524 - Advanced War Gaming and C4ISR Credits: 3
ECE 09525 - Advanced Command and Control Credits: 3
ECE 09526 - Advanced Weapon Systems Credits: 3
ECE 09527 - Advanced Model Based Systems Engineering Credits: 3
ECE 09531 - Advanced Optical Fiber Communications Credits: 3
ECE 09536 - Systems On Chips: Design & Analysis Credits: 3
ECE 09537 - Microsystems and Microfabrication Credits: 3
ECE 09538 - Nanoelectronics, Nanophotonics and Nanotechnology Credits: 3
ECE 09552 - Digital Image Processing Credits: 3
ECE 09555 - Machine Learning Credits: 3 *
ECE 09556 - Advanced Embedded Software Design Credits: 3 *
ECE 09557 - Advanced Biometric Systems Credits: 3
ECE 09558 - Reinforcement Learning Credits: 3 *
ECE 09566 - Advanced Topics in Systems, Devices, and Algorithms in Bioinformatics Credits: 3
ECE 09568 - Discrete Event Systems Credits: 3
ECE 09569 - System-On-Chip Verification Credits: 3
ECE 09572 - Advanced Smart Grid Credits: 3
ECE 09573 - Advanced Smart Sensors Credits: 3
ECE 09580 - Internet of Things Credits: 3
ECE 09582 - Advanced Memristors and Nanoelectronic VLSI Credits: 3
ECE 09585 - Advanced Engineering Cyber Security Credits: 3
ECE 09587 - IoT Hardware Engineering and Security Credits: 3
ECE 09588 - Cloud Hardware Architecture and Security Credits: 3
ECE 09590 - Advanced Emerging Topics in Computer Engineering Credits: 1 to 3
ECE 09595 - Advanced Emerging Topics in Computational Intelligence, Machine Learning and Data Mining Credits: 1 to 3 *
ECE 09651 - Estimation and Detection Theory Credits: 3
ECE 09655 - Advanced Computational Intelligence and Machine Learning Credits: 3 *
ENGR 01510 - Finite Element Analysis Credits: 3
ME 10561 - Engineering Optimization Credits: 3

Required Thesis (for thesis track students only): 9 s.h.

ENGR 01599 - Master’s Research and Thesis Credits: 1 to 9

Total Required Credits for the Program: 30 s.h.

Foundation Courses

None

Graduation/Exit, Benchmark, and Thesis Requirements

Thesis Research. (Students will register for Master’s Research and Thesis (see above) credit hours totaling 9 s.h. Please

discuss with your Academic Advisor.)

Minimum Required Grades and Cumulative GPA

The Master of Science in Electrical and Computer Engineering is a Category 2 program.

For details regarding satisfactory academic progress and graduation requirements, please visit Academic Program Policy Categories .

Program Coordinator/Advisor Contact Information
Jie Li, Ph.D.
Engineering Hall
856.256.5345
lijie@rowan.edu