Our M.S. in Electrical & Computer Engineering offers opportunities to expand student skill sets in highly specialized areas of interest.
Our Master of Science in Electrical & Computer Engineering gives engineering professionals the opportunity to expand their skill sets in highly specialized areas of interest.
Every course in the program is a lab course, which provides an applied, hands-on education to build the knowledge and training needed to contribute to the engineering field. Specializations and focus areas provide the opportunity to study a specific topic in the electrical and computer industry.
Students may choose between a thesis track and a coursework track or elect to work on a project which may count toward a coursework track degree. In order to be eligible for a Research Fellowship, students must select the thesis track.
The Rowan University Master of Science in Engineering program requires the completion of 30 semester hours (s.h.) and thesis research/engineering project. Between six and nine of the required semester hours can be Thesis Research/Engineering Project.
The following courses make up the M.S. in Electrical and Computer Engineering program.
| Course Number | Title | S.H. (Credits) |
| MATH 01515 | Engineering Applications of Analysis | 3 |
| ----- | Engineering Applications of Computers (or equivalent determined in consultation with Academic Advisor) | 3 |
| ----- | Approved Business Course (determined in consultation with Academic Advisor) | 3 |
| Course Number | Title | S.H. (Credits) |
| ECE 09495 | Emerging Topics in Computational Intelligence, Machine Learning and Data Mining | 3 |
| ECE 09504 | Special Topics In Electrical And Computer Engineering | 3 |
| ECE 09551 | Digital Signal Processing | 3 |
| ECE 09552 | Digital Image Processing | 3 |
| ECE 09553 | Digital Speech Processing | 3 |
| ECE 09554 | Theory And Engineering Applications Of Wavelets | 3 |
| ECE 09555 | Machine Learning | 3 |
| ECE 09556 | Embedded System Design | 3 |
| ECE 09558 | Reinforcement Learning | 3 |
| ECE 09560 | Modern Neural Networks | 3 |
| ECE 09521 | Fundamentals Of Systems Engineering | 3 |
| ECE 09566 | Advanced Topics In Systems, Devices And Algorithms In Bioinformatics | 3 |
| ECE 09572 | Advanced Smart Grid | 3 |
| ECE 09571 | Instrumentation | 3 |
| ENGR 01510 | Finite Element Analysis | 3 |
| ENGR 01511 | Engineering Optimization | 3 |
| ENGR 01591 | Experiential Engineering Education | 3 |
| Course Number | Title | S.H. (Credits) |
| ENGR 01599 | Masters Research | 9 |
Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan University Academic Catalog.
The following is a list of items required to begin the application process for the program. There may be additional actions or materials required for admission to the program. Upon receipt of the materials below, a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or will indicate any missing items.
At Rowan University, we pride ourselves on being vigilant and frugal about tuition. We work hard to provide quality education while seeking to reduce the barrier that college costs can present students.
We know paying for tuition can be a challenge. That is why Rowan provides students with the financial resources needed to put their education first by offering grants, loans, work-study, and scholarships.
If you are interested in advancing your career in the electrical and computer enginnering field, earning your master's degree at Rowan can put you on the right track. The college’s curriculum, faculty and students consistently receive international acclaim and our progressive, hands-on programs provide you with the real-world skills you need to move ahead.