Master of Science (MS) in robotics and autonomous systems
We invent the future: Learn about robotics, artificial intelligence, autonomy, control systems, machine learning, human-machine interaction and other fields of study to develop the next generation of intelligent robots.
About the robotics and autonomous systems MS
This master’s degree program will provide students with in-depth theoretical knowledge and practical experience in the development and control of robotic platforms and autonomous systems. Robotics and autonomous systems are interdisciplinary technologies that are poised to see increased importance in manufacturing, transportation, aerospace, defense, health care and many other critical fields of application.
Robotics are in high demand
Robots take many different forms, but they can generally be described as physical systems capable of carrying out a set of complex tasks in their environments. Examples include autonomous cars, intelligent manufacturing robots, swarms of delivery drones or even surgical robots. Within the last five years, these fields have seen tremendous growth. Both industry and academia are in pressing need of qualified personnel with deep knowledge in machine learning, artificial intelligence, adaptive control, multi-agent systems, mechanical engineering, computer science and a variety of other advanced topics.
What will I learn?
The master’s degree in robotics and autonomous systems offers the opportunity to study interdisciplinary technologies that have applications in numerous industries ranging from manufacturing and transportation to aerospace, defense, health care and beyond.
Concentrations are available in:
- artificial intelligence
- biomedical engineering
- electrical engineering
- systems engineering
- mechanical and aerospace engineering
Post-graduation outcomes
After completing this program, you will be prepared for doctoral degree studies or an industrial position specializing in research, project management and product innovation. With access to more than 25 state-of-the-art labs, you will gain practical experience with systems capable of carrying out sets of complex tasks in various working environments and will expand your knowledge of advanced topics such as machine learning, artificial intelligence, human-robot interaction and adaptive control.