The Master of Science in Robotics (MSR) at Carnegie Mellon University is a full-time, two-year research-intensive graduate program designed to mirror the first two years of a PhD in robotics. Offered through the renowned Robotics Institute, this program balances foundational coursework with in-depth, supervised research, equipping students for advanced roles in research and development or seamless entry into doctoral programs.
While the program does not provide guaranteed funding, it offers access to world-class research labs and faculty expertise across all subfields of robotics. Students work closely with an advisor and thesis committee to explore and contribute to the field’s cutting-edge advancements.
Course Overview:
Core Courses (1 course from each area):
Perception: Computer Vision, Sensor Systems, Range Data, Tactile/Force Sensors, Inertial Guidance
Cognition: AI for Robotics, Knowledge Representation, Planning, Machine Learning
Action: Kinematics, Control Systems, Mobile Robots, Locomotion
Electives:
Three graduate-level electives selected in consultation with the advisor to support research goals.
Research Component:
Supervised hands-on research under a faculty advisor.
Culminates in a written thesis demonstrating mastery and context within the field.
A public oral presentation is required.
Thesis must be archived as a CMU Technical Report.
Oversight by a faculty thesis committee.
Full-scale research immersion in CMU’s top-ranked Robotics Institute
Access to over 30 specialized robotics labs spanning human-robot interaction, haptics, robotic vision, and field robotics
Optional research-aligned internships with academic or industrial partners
Regular progress reviews ensure sustained development and feedback
Close mentorship from leading robotics faculty through the thesis committee
Excellent preparation for PhD programs in robotics, AI, or related fields
Strong career outcomes in industry, government, and academic research labs
Personalized research specialization in areas like robotic vision, haptics, field robotics, machine learning
Graduates regularly contribute to high-impact publications and open-source robotics platforms
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