
Master of Science in
Uncrewed and Autonomous Systems Engineering
This innovative program is among the first — and still one of the few — that allows students to focus on the engineering of unmanned and autonomous systems.
About the Master of Science in Uncrewed and Autonomous Systems Engineering
Embry‑Riddle is a pioneering institution in uncrewed and robotics education. In the Master of Science in Uncrewed and Autonomous Systems Engineering, a student’s prior engineering education and interest in uncrewed flight is the ideal combination to take their career to the next level. Whether students are recent graduates or working professionals, this degree will help them transition into new, exciting roles in the burgeoning field of uncrewed systems.
Students benefit from small class sizes and hands-on learning as they proceed through the Uncrewed and Autonomous Systems Engineering (MSUASE) curriculum. Beyond the aircraft focus, students will study autonomous systems related to automobiles and drones, surface and undersea marine vessels and spacecraft.
Student Learning Outcomes
What you will learn while pursuing a UASE degree:
- Apply fundamental engineering practices to analyze, design and support the implementation and development of uncrewed and/or autonomous systems
- Apply knowledge of advanced topics in uncrewed and autonomous systems engineering
- Communicate effectively on issues pertaining to uncrewed and autonomous systems
Uncrewed and Autonomous Systems Engineering Career Opportunities
Careers and Employers
Autonomous Systems Engineering master's graduates often secure positions in fields such as automation engineering, software engineering, software verification engineering and 3D simulation engineering.
UAS master's degree graduates tend to enter the industry with companies such as:
- Collins Aerospace
- Iris Automation
- DinoPlusAI
- Radiance Technlogies, Inc.
Uncrewed and Autonomous Systems Engineering Salary Information
As of 2023, graduates with a degree in uncrewed systems tend to receive , with an average income of $84,602 annually.
DETAILS
About Uncrewed and Autonomous Systems Engineering at the Daytona Beach, FL Campus
Housed in the , the M.S. in Uncrewed & Autonomous Systems Engineering is one of the first — and still one of the few — programs to offer the opportunity to study the engineering of uncrewed and autonomous systems.
The MSUASE master's degree prepares students to work in an industry developing systems that operate along a spectrum of autonomy, from drones and autonomous robotics to surface water and underwater vessels and spacecraft. Students will have access to the highly specialized labs and facilities within the College of Engineering.
Tracks/Specialties and/or Certificates
Students can customize their Autonomous Systems Engineering degree by choosing from these available tracks:
- Technical: 15 credits
- Uncrewed Aircraft Systems: 15 credits
- Systems Engineering: 15 credits
Uncrewed and Autonomous Systems Engineering Information
- Credits: 30
- Mode of Study:
- Thesis: Thesis, Capstone & Coursework Options
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Student Learning Outcomes
Students will:
- Apply fundamental engineering practices to analyze, design, and support the implementation and development of uncrewed and/or autonomous systems.
- Solve engineering problems in uncrewed/autonomous systems using knowledge gained on advanced topics covered from the program's core and chosen electives.
- Communicate issues pertaining to uncrewed and autonomous systems to peers.
- Implement safe systems through analysis and design techniques.
Program Requirements
The program supports the Thesis and Graduate Project options
Core Requirements | 15 | |
AE/EE/ME 527 | Modern Control Systems | 3 |
䷡528 | Networks | 3 |
528 | Sensors and Data Links | 3 |
ѷ503 | Introduction to Autonomous Vehicle Systems | 3 |
۳505 | System Safety and Certification | 3 |
Thesis Option | ||
One (1) Approved Elective | 3 | |
One (1) Open Elective * | 3 | |
Ҹ600 | Research Methods for Engineers | 3 |
700 | Thesis | 3 |
700 | Thesis | 3 |
Graduate Project Option | ||
Two (2) Approved Electives | 6 | |
Two (2) Open Electives * | 6 | |
690 | Graduate Project | 3 |
Total Credits | 30 |
Approved Electives
Approved Electives | ||
506 | Airplane Dynamic Stability | 3 |
553 | Hybrid and Urban Air Mobility | 3 |
623 | Navigation, Guidance and Control | 3 |
626 | Advanced Topics in Discrete Control Theory | 3 |
䷡500 | Engineering Project Management | 3 |
䷡526 | Sensor Data Fusion | 3 |
䷡527 | Mobile Sensor Networks | 3 |
䷡530 | Image Processing and Machine Vision | 3 |
䷡610 | State and Parameter Estimation | 3 |
䳧528 | Multi-Agent Systems | 3 |
䳧529 | Computer Security | 3 |
䳧555 | Artificial Intelligence | 3 |
500 | Digital Control Systems | 3 |
505 | Advanced Mechatronics | 3 |
510 | Linear Systems | 3 |
515 | Random Signals | 3 |
525 | Avionics and Radio Navigation | 3 |
529 | Electro-Optical Systems | 3 |
625 | Satellite-Based Communications and Navigation | 3 |
ѷ513 | Perception Methods for Autonomous Systems | 3 |
ѷ520 | Sensor Processing with Applications | 3 |
ѷ523 | Modeling and Simulation of Linear Dynamic Systems | 3 |
ѷ610 | Automation and Additive Manufacturing | 3 |
ѷ615 | Pattern Recognition and Machine Learning | 3 |
۳500 | Fundamentals of Systems Engineering | 3 |
۳530 | System Requirements Analysis and Modeling | 3 |
۳560 | Introduction to Systems Engineering Management | 3 |
۳610 | System Architecture Design and Modeling | 3 |
۳625 | System Quality Assurance | 3 |
- *
Open electives are 500-level or higher courses relevant to uncrewed and/or autonomous systems. Students should see their advisor to determine the suitability of their open electives.
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