Carnegie Mellon University

Carnegie Mellon University

About This Program

This interdisciplinary program emphasizes the integration of hardware and software components to design and model complex robotic systems for real-world problems.

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What You'll Learn

Students master mathematical foundations and algorithmic concepts for robotics while working in teams on design, prototyping, and fabrication.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Carnegie Mellon University, visit their official program website.

Typical Course Topics

                   Core coursework covers sensing and perception, robot kinematics and dynamics, computer vision, feedback control systems, and systems engineering.

Full-Time

Program Specializations:

Machine Learning

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Position as Robotics Engineer in Engineering AI with computer vision expertise

Program Details

Duration

2 Years

Tuition

156408

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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