PA

Master's in AI
On-Campus

Carnegie Mellon University

MS in Robotics

  • Pittsburgh
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
Core coursework covers sensing and perception, robot kinematics and dynamics, computer vision, feedback control systems, and systems engineering.
Typical Course Topics
1. Robot Kinematics and Dynamics 2. Computer Vision for Robotics 3. Machine Learning for Autonomous Systems 4. Motion Planning and Control 5. Simultaneous Localization and Mapping (SLAM) 6. Human-Robot Interaction
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in a related field such as engineering, computer science, or physics, with a strong GPA and prerequisites including calculus, linear algebra, programming, data structures, mechanics, and electricity/magnetism. GRE scores are required along with English proficiency tests for international students.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as Robotics Engineer in Engineering AI with computer vision expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Robotics Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
10.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Software Engineer 2. Autonomous Systems Engineer 3. Computer Vision Specialist 4. Field Robotics Developer
Top AI Employers (Industry-Wide):
Top employers include Boston Dynamics, Google DeepMind, NVIDIA, Amazon Robotics, and NASA.
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Program Details
Duration
  • 2 Year
Tuition
  • 156,408
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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