Master of Science in Autonomy
The master’s in autonomy focuses on the analysis, control and design of autonomous systems spanning many application domains. Courses include fundamental theories and tools for modeling, analyzing and developing algorithms to achieve autonomy of both individual systems and a network of interconnected systems.
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Overview
Become an industry leader in Autonomy.
Autonomous systems are playing a significant role in modern society including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in designing, analyzing and controlling autonomous systems in many engineering applications including exploration of unknown areas, search and rescue, package delivery and so on.
The master’s in autonomy focuses on the analysis, control and design of autonomous systems spanning many application domains. There is a significant demand for students that have the core skills and knowledge in both classical theories in control, optimization and networks and recent advances in learning and AI.
Program Specifics
Learn more about the Master of Science in Autonomy
The courses within this major will establish fundamental theories and tools for modeling, analyzing and developing algorithms to achieve autonomy of both individual systems and a network of interconnected systems. It spans core topics like control theory, machine learning, artificial intelligence, networks and advanced courses in emerging topics.
Career Outcomes
Top Job Titles
- Engineering Manager
- Directors of Engineers
- Robotics Engineers
- Principal Engineers
- Chief Engineers
Top Industries
- Aircraft Manufacturing
- Search, Detection, Navigation, Guidance, Aeronautical and Nautical System
- Instrument Manufacturing
- Research and Development
- Education
Source: LightcastTM (2023). Unique job postings for July 2022-2023. Projected growth for years 2023-2033.
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