Robotics
The Robotics Master of Science program at University of Michigan offers a comprehensive academic environment for students who want to understand the full spectrum of robotic systems, from mechanical design to intelligent control. The curriculum highlights essential principles in robotics such as motion planning, perception, autonomous systems, and human robot interaction, helping learners explore how machines sense, interpret, and respond to real world environments. Students examine both theoretical and practical aspects of robotic engineering, gaining the ability to analyze complex systems and understand how robotics integrates mechanical structures with sophisticated computational models. This approach supports the development of strong analytical and engineering based reasoning, preparing students to contribute effectively to rapidly advancing technological fields.
As a one year full time program, it delivers an intensive learning experience that merges laboratory work, computational modeling, and applied engineering tasks. Students strengthen their capacity to build, test, and refine robotic systems by engaging with advanced tools and interdisciplinary research environments. The program emphasizes systems integration, autonomous control, and experimental problem solving, allowing learners to connect engineering theory with real robotic applications. With its strong technical orientation and focus on practical innovation, the program equips students with the skills needed to evaluate robotics challenges, design effective solutions, and work confidently in industries and research areas that rely on sophisticated automation and intelligent machinery.
Key information
Key Facts
- Program Title: Robotics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: University of Michigan, United States
- Field of Study: Robotics
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Robotics Engineering
• Introduction to Robotics Systems
• Kinematics and Dynamics
• Perception and Sensor Technologies
• Programming for Robotic Applications
Semester 2 - Advanced Robotics and Autonomous Systems
• Control Systems for Robotics
• Machine Learning for Autonomous Platforms
• Motion Planning and Navigation
• Research Seminar and Independent Study
Career Opportunities
Graduates of this program pursue roles in industries where robotic systems, intelligent automation, and high level engineering analysis are central to innovation. Many move into positions in autonomous vehicle development, industrial automation, robotics research laboratories, and aerospace engineering, contributing to projects that require precise system integration and advanced computational reasoning. Others work in technology companies focused on robotics design, sensor based systems, or machine learning driven applications, while some continue into doctoral studies to deepen their research expertise. The program’s focus on applied engineering, computational modeling, and system level problem solving ensures that graduates are prepared to navigate rapidly evolving technological environments and support advancements across research, manufacturing, healthcare robotics, and intelligent mobility.
Why Choose This Program
Students choose this program for its strong balance of engineering depth and practical robotic development, allowing them to explore how mechanical components and computational intelligence function together in complex systems. The curriculum encourages advanced technical reasoning and fosters the ability to design and evaluate robotic solutions through hands on experimentation and interdisciplinary collaboration. Learners benefit from the university’s extensive research facilities, expert faculty, and opportunities to engage with real engineering challenges that enhance both professional capability and academic insight. With a focus on innovative robotic applications, the program prepares students to contribute meaningfully to emerging technologies that shape automation, mobility, and intelligent system design.
