
Master of Science in
Electrical & Computer Engineering
High industry demand continues fueling this program, which allows students to gain the technical proficiency and the ability to execute systems-level design.
According to the U.S. Bureau of Labor Statistics, electrical engineers and computer engineers both continue to have above-average job growth as well as strong starting and continuing salaries. The M.S. in Electrical and Computer Engineering program at Embry-Riddle provides students with the skills and knowledge necessary to work not only within the aviation/aerospace field but many others as well.
The Daytona Beach Campus is home to ERAU’s Eagle Flight Research Center, Green Garage and many state-of-the-art labs and computer facilities where students can take advantage of research opportunities and real-world projects.
M.S. in Electrical and Computer Engineering program faculty are experienced professionals who bring firsthand knowledge and conduct ongoing research in which students will participate.
Students select from a program concentration in either Electrical Engineering or Computer Engineering. In both areas, the program builds upon a foundation in linear systems, random processes, and systems engineering.
Applicants must have an undergraduate degree in electrical and/or computer engineering, another engineering discipline, computer science, or the physical sciences.
DETAILS
About Electrical & Computer Engineering at the Daytona Beach, FL Campus
Housed in the Electrical Engineering and Computer Science Department of the College of Engineering, the M.S. in Electrical & Computer Engineering program prepares students for advanced careers in the aerospace industry and other industries where increasing reliance on embedded control systems have created a high demand for electrical, computer, software and systems engineers.
Like its undergraduate counterpart, this degree produces engineers who possess both technical proficiency and the ability to execute systems-level design. Graduates are prepared for leadership roles in either electrical engineering or computer engineering design.
- The Daytona Beach Campus is home to ERAU’s Eagle Flight Research Center, Green Garage and many state-of-the-art labs and computer facilities where students can take advantage of research opportunities and real-world projects.
- The ECSSE department includes the Radar and Microwaves Lab, where students can design and develop radio-frequency systems for use in aircraft communication, navigation, and surveillance.
MSECE (Thesis option)
Core courses | 15 | |
Electives | 6 | |
CEC 700 | Graduate Thesis | 9 |
or EE 700 | Graduate Thesis | |
Total Credits | 30 |
MSECE (Non-thesis option)
Core courses | 15 | |
Electives | 12 | |
CEC 690 | Graduate Project | 3 |
or EE 690 | Graduate Project | |
Total Credits | 30 |
Areas of Concentration
Electrical Engineering
This area includes avionics, communications, power electronics, electromagnetic systems, computing systems, control systems, and systems engineering.
Core Courses for Electrical Engineering Concentration | ||
EE 510 | Linear Systems | 3 |
EE 515 | Random Signals | 3 |
EE 525 | Avionics and Radio Navigation | 3 |
EE 620 | Digital Communications | 3 |
SYS 500 | Fundamentals of Systems Engineering | 3 |
Electives for Electrical Engineering Concentration | ||
Thesis Option, choose two; Non-thesis Option, choose four of the following: | 6-12 | |
AE 514 | Introduction to the Finite Element Method | |
AE 526 | Engineering Optimization | |
AE 527 | Modern Control Systems | |
CEC 500 | Engineering Project Management | |
CEC 510 | Digital Signal Processing | |
CEC 526 | Sensor Data Fusion | |
CEC 530 | Image Processing and Machine Vision | |
CEC 610 | State and Parameter Estimation | |
EE 500 | Digital Control Systems | |
EE 505 | Advanced Mechatronics | |
EE 527 | Modern Control Systems | |
EE 528 | Sensors and Data Links | |
EE 529 | Electro-Optical Systems | |
EE 625 | Satellite-Based Communications and Navigation | |
EP 501 | Numerical Methods for Engineers and Scientists | |
EP 505 | Spacecraft Dynamics and Control | |
HFS 635 | Human-Computer Interaction | |
MA 510 | Fundamentals of Optimization | |
ME 503 | Unmanned and Autonomous Vehicle Systems | |
ME 520 | Sensor Processing with Applications | |
ME 527 | Modern Control Systems | |
ME 613 | Advanced Model-Based Control Design | |
ME 615 | Pattern Recognition and Machine Learning | |
SE 500 | Software Engineering Discipline | |
SE 505 | Model-Based Verification of Software | |
SE 530 | Software Requirements Engineering | |
SE 535 | User Interface Design and Evaluation | |
SE 545 | Specification and Design of Real-Time Systems | |
SE 610 | Software Systems Architecture and Design | |
SE 625 | Software Quality Engineering and Assurance | |
SYS 505 | System Safety and Certification | |
SYS 530 | System Requirements Analysis and Modeling | |
SYS 560 | Introduction to Systems Engineering Management | |
SYS 610 | System Architecture Design and Modeling | |
SYS 625 | System Quality Assurance | |
SYS 660 | Organizational Systems Management | |
Total Credits | 21-27 |
- *
Other electives may be approved by the degree program coordinator
Computer Engineering
This area includes the analysis, design, development and deployment of computer systems, particularly real-time, safety-critical, and high-reliability systems.
Core Courses for Computer Engineering Concentration | ||
CEC 500 | Engineering Project Management | 3 |
EE 510 | Linear Systems | 3 |
EE 515 | Random Signals | 3 |
SYS 500 | Fundamentals of Systems Engineering | 3 |
SYS 505 | System Safety and Certification | 3 |
Electives for Computer Engineering Concentration | ||
Thesis Option, choose two; Non-thesis Option, choose four of the following: | 6-12 | |
AE 514 | Introduction to the Finite Element Method | |
AE 526 | Engineering Optimization | |
AE 527 | Modern Control Systems | |
CEC 510 | Digital Signal Processing | |
CEC 526 | Sensor Data Fusion | |
CEC 530 | Image Processing and Machine Vision | |
CEC 610 | State and Parameter Estimation | |
EE 500 | Digital Control Systems | |
EE 505 | Advanced Mechatronics | |
EE 525 | Avionics and Radio Navigation | |
EE 527 | Modern Control Systems | |
EE 528 | Sensors and Data Links | |
EE 529 | Electro-Optical Systems | |
EE 620 | Digital Communications | |
EE 625 | Satellite-Based Communications and Navigation | |
EP 501 | Numerical Methods for Engineers and Scientists | |
EP 505 | Spacecraft Dynamics and Control | |
HFS 635 | Human-Computer Interaction | |
MA 510 | Fundamentals of Optimization | |
ME 503 | Unmanned and Autonomous Vehicle Systems | |
ME 520 | Sensor Processing with Applications | |
ME 527 | Modern Control Systems | |
ME 613 | Advanced Model-Based Control Design | |
ME 615 | Pattern Recognition and Machine Learning | |
SE 500 | Software Engineering Discipline | |
SE 505 | Model-Based Verification of Software | |
SE 530 | Software Requirements Engineering | |
SE 535 | User Interface Design and Evaluation | |
SE 545 | Specification and Design of Real-Time Systems | |
SE 610 | Software Systems Architecture and Design | |
SE 625 | Software Quality Engineering and Assurance | |
SYS 530 | System Requirements Analysis and Modeling | |
SYS 560 | Introduction to Systems Engineering Management | |
SYS 610 | System Architecture Design and Modeling | |
SYS 625 | System Quality Assurance | |
SYS 660 | Organizational Systems Management | |
Total Credits | 21-27 |
- *
Other electives may be approved by the degree program coordinator.
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Summary
30 Credits
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