Ranked among the top engineering schools in the country, the University of Michigan College of Engineering has a long tradition in robotics, artificial intelligence, and autonomous navigation, with a special focus on manufacturing reliability and powertrains. These strengths provide a unique advantage for students in this new program because the underlying technologies in robotics and autonomous vehicles significantly overlap those used in automobiles.
Course offerings include sensing, perception and cognition, intelligence and learning, mechatronics (mechanical engineering and electronic engineering), propulsion and power management, system integration, management, and financial analysis.
The Master of Engineering in Robotics and Autonomous Vehicles program provides great flexibility according to the following template:
- Breadth across engineering disciplines and a systems engineering perspective (typically 6 credits or more)
- Breadth beyond engineering through fundamentals of non-engineering aspects of the degree area (typically six credits or more)
- Additional depth in the student's engineering discipline through additional courses in the student's BSE degree or discipline (typically 6 credits or more)
- A significant and industrially-relevant team project experience that emphasizes team building, industry/government participations (typically 6 credits or more)