University of Michigan

What you'll study

This programme emphasises the integration of mechanical design, sensors and actuators, control theory, embedded systems, and perception, with strong opportunities for applied laboratory work and project-based learning. Core topics typically include multibody dynamics and kinematics, linear and nonlinear control systems, sensor fusion, embedded real‑time systems, robotic manipulation and locomotion, motion planning, and computer vision for robotics. Electives allow deeper focus on areas such as machine learning for autonomous systems, industrial automation, human‑robot interaction, microelectromechanical systems (MEMS), and advanced manufacturing.

Students commonly choose between a thesis (research) option and a project/coursework option. The programme includes substantial hands‑on components hosted in shared research labs and maker spaces, where students work with mobile robots, industrial manipulators, sensing suites (lidar, stereo cameras, IMUs), and programmable controllers. Team design projects and collaborations with Michigan Robotics and departmental research groups are an integral part of the curriculum.

Entry requirements

Applicants are expected to hold a bachelor’s degree in engineering, computer science, mathematics, or a closely related technical discipline. Typical academic preparation includes courses in calculus, linear algebra, differential equations, signals and systems, programming (C/C++ or Python), and introductory courses in mechanics or circuits depending on background.

Admission normally requires a strong undergraduate academic record, a statement of purpose outlining research or career goals, and letters of recommendation from academic or professional referees. Applicants with substantial industry experience, relevant project portfolios or prior research can strengthen their application. Specific documentation and any standardised test requirements should be confirmed on the programme’s admissions pages.

Career prospects

Graduates enter a wide range of roles across robotics, automation, and related industries. Typical positions include robotics engineer, controls and automation engineer, perception and computer vision engineer, embedded systems developer, and systems integrator. Graduates also join R&D teams in automotive autonomy, industrial automation, medical robotics, aerospace, and consumer robotics, or progress to doctoral study and research careers.

The programme’s lab training and industry collaborations support transitions into startups, established engineering firms, and cross‑disciplinary teams developing autonomous systems, intelligent manufacturing solutions, and next‑generation mechatronic products.

Why study at University of Michigan

The University of Michigan offers interdisciplinary strengths across mechanical, electrical, and computer engineering, with close links to the Michigan Robotics initiative and numerous specialised labs and centres. Students benefit from access to shared facilities for mobile robotics, manipulation, autonomy testing, and advanced manufacturing, as well as opportunities to collaborate with faculty engaged in cutting‑edge research.

Located in a vibrant research ecosystem, the programme provides strong industry engagement and project opportunities with automotive, manufacturing and technology partners, plus a large alumni network and career services to support job placement. The environment is well suited to students seeking rigorous technical training combined with practical, hands‑on experience in mechatronics, robotics and automation.