BS & MS in Robotics

2 Years On Campus Accelerated-bachelors Program

Carnegie Mellon University

Program Overview

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

  • Mathematical Foundations: Signal Processing, Optimal Estimation, Differential Geometry, Operations Research

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.

Experiential Learning (Research, Projects, Internships etc.)

  • 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

Progression & Future Opportunities

  • 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

Program Key Stats

$65,200
$ 75
Aug Intake : 2nd Jan


Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1500 - 1570
34 - 35
7.5
102

Additional Information & Requirements

Career Options

  • Robotics researcher
  • R&D engineer
  • Autonomous systems developer
  • AI/ML researcher
  • PhD candidate
  • Academic researcher
  • Robotics software engineer
  • Government lab researcher

Book Free Session with Our Admission Experts

Admission Experts