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.
About Electrical & Computer Engineering at the Daytona Beach, FL Campus
Housed in the Electrical, Computer, Software, and Systems Engineering 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 the 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.
Requirements and Courses
The Master of Science in Electrical and Computer Engineering prepares students for advanced careers in the aerospace industry. Like its undergraduate counterparts, it focuses on developing engineers who possess not only technical mastery but also the knowledge and ability to execute the systems-level design, whether in avionics systems, spacecraft electronics, or more earthbound computer design.
The program allows the student to focus either on electrical engineering or computer engineering. For each area of concentration, the program begins with a foundation of courses in linear systems, random processes, and systems engineering. Then, each area has its own core: digital communications plus avionics & radio navigation comprise the electrical engineering core; project management and computer systems safety, the computer engineering core. The student can tailor each area of concentration toward either professional practice or further graduate study. For those inclined toward research and later doctoral studies, the program offers a thesis option. For those more interested in entering or returning to the workplace, there is a non-thesis option.
Applicants must have an undergraduate degree in electrical and/or computer engineering, another engineering discipline, computer science, or the physical sciences. Any engineering degree earned in the United States must be from an ABET-accredited program. Students should possess a strong academic record, demonstrated by a 3.0 CGPA or better. Applicants may be admitted conditionally with the provision that they complete specific undergraduate courses prior to enrolling in graduate courses.
Each area of concentration consists of 15 credits of required courses, with 9 credits common to both areas. The thesis option requires 9 credits of thesis and allows 6 credits of restricted electives. The non-thesis option allows for 12 credits of restricted electives and requires the completion of a 3-credit project. Restricted electives include core courses from the complementary area of concentration, advanced courses in both electrical engineering and computer engineering, and graduate subjects in software engineering, aerospace engineering, mechanical engineering, engineering physics, and mathematics.
MSECE (Thesis option)
Core courses
Electives
CEC 700 Graduate Thesis or
EE 700 Graduate Thesis
MSECE (Non-thesis option)
Core courses
Electives
CEC 690 Graduate Project or
EE 690 Graduate Project
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
EE 515 Random Signals
EE 525 Avionics and Radio Navigation
EE 620 Digital Communications
SYS 500 Fundamentals of Systems Engineering
Electives for Electrical Engineering Concentration
Thesis Option, choose two; Non-thesis Option, choose four of the following:
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 600 User Interface Design for Unmanned Systems
SE 610 Software Systems Architecture and Design
SE 625 Software Quality Engineering and Assurance
SE 655 Performance Analysis of Real-Time Systems
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
*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
EE 510 Linear Systems
EE 515 Random Signals
SYS 500 Fundamentals of Systems Engineering
SYS 505 System Safety and Certification
Electives for Computer Engineering Concentration
Thesis Option, choose two; Non-thesis Option, choose four of the following:
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 613 Advanced Model-Based Control Design
ME 615 Pattern Recognition and Machine Learning
ME 527 Modern Control Systems
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 600 User Interface Design for Unmanned Systems
SE 610 Software Systems Architecture and Design
SE 625 Software Quality Engineering and Assurance
SE 655 Performance Analysis of Real-Time Systems
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
*Other electives may be approved by the degree program coordinator.
