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Master of Science in
Uncrewed and Autonomous Systems Engineering
This innovative program is among the first 鈥� and still one of the few 鈥� 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鈥慠iddle 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 |
| 颁贰颁听528 | Networks | 3 |
| 贰贰听528 | Sensors and Data Links | 3 |
| 惭贰听503 | Introduction to Autonomous Vehicle Systems | 3 |
| 厂驰厂听505 | System Safety and Certification | 3 |
| Thesis Option | ||
| One (1) Approved Elective | 3 | |
| One (1) Open Elective * | 3 | |
| 贰骋搁听600 | Research Methods for Engineers | 3 |
| 鲍础厂听700 | Thesis | 3 |
| 鲍础厂听700 | Thesis | 3 |
| Graduate Project Option | ||
| Two (2) Approved Electives | 6 | |
| Two (2) Open Electives * | 6 | |
| 鲍础厂听690 | Graduate Project | 3 |
| Total Credits | 30 | |
Approved Electives
| Approved Electives | ||
| 础贰听506 | Airplane Dynamic Stability | 3 |
| 础贰听553 | Hybrid and Urban Air Mobility | 3 |
| 础贰听623 | Navigation, Guidance and Control | 3 |
| 础贰听626 | Advanced Topics in Discrete Control Theory | 3 |
| 颁贰颁听500 | Engineering Project Management | 3 |
| 颁贰颁听526 | Sensor Data Fusion | 3 |
| 颁贰颁听527 | Mobile Sensor Networks | 3 |
| 颁贰颁听530 | Image Processing and Machine Vision | 3 |
| 颁贰颁听610 | State and Parameter Estimation | 3 |
| 颁厂听528 | Multi-Agent Systems | 3 |
| 颁厂听529 | Computer Security | 3 |
| 颁厂听555 | Artificial Intelligence | 3 |
| 贰贰听500 | Digital Control Systems | 3 |
| 贰贰听505 | Advanced Mechatronics | 3 |
| 贰贰听510 | Linear Systems | 3 |
| 贰贰听515 | Random Signals | 3 |
| 贰贰听525 | Avionics and Radio Navigation | 3 |
| 贰贰听529 | Electro-Optical Systems | 3 |
| 贰贰听625 | Satellite-Based Communications and Navigation | 3 |
| 惭贰听513 | Perception Methods for Autonomous Systems | 3 |
| 惭贰听520 | Sensor Processing with Applications | 3 |
| 惭贰听523 | Modeling and Simulation of Linear Dynamic Systems | 3 |
| 惭贰听610 | Automation and Additive Manufacturing | 3 |
| 惭贰听615 | Pattern Recognition and Machine Learning | 3 |
| 厂驰厂听500 | Fundamentals of Systems Engineering | 3 |
| 厂驰厂听530 | System Requirements Analysis and Modeling | 3 |
| 厂驰厂听560 | Introduction to Systems Engineering Management | 3 |
| 厂驰厂听610 | System Architecture Design and Modeling | 3 |
| 厂驰厂听625 | 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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