CO

Master's in AI
On-Campus, Online

University of Colorado Boulder

MS in Robotics and Control

  • Boulder
About This Program

This interdisciplinary master’s program offers advanced training in autonomy, AI, and control systems. It provides a flexible framework for research and industry advances in robotics and smart materials.

Student Reviews
Write a Review
What You'll Learn

Students will learn foundational robotics principles, including kinematics and dynamics, while developing technical application skills. They gain expertise across domains like field robotics and human-robot interaction.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit curriculum features core introductory robotics plus breadth requirements in mechatronics, cognition, and interaction. Elective themes include neural networks, deep learning, and sampled data control.
Typical Course Topics
1. Robot Kinematics and Dynamics 2. Nonlinear Control Systems 3. Motion Planning and Path Algorithms 4. Machine Learning for Robotics 5. Multi-Agent Systems and Coordination 6. Autonomous Navigation and Sensing
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with coursework in linear algebra, calculus, and programming. Relevant research or project experience in robotics is often preferred.
Academic Requirements (Typical)

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

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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.

Check Application Deadlines
Career Opportunities in AI

Excel as Robotics Engineer in Engineering AI with deep learning expertise

Estimated Industry Salary
Robotics Engineer: $110,000
Total compensation (entry to mid-level)
AI Job Growth
9.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Controls Engineer 2. Autonomous Systems Developer 3. Motion Planning Specialist 4. Robotics Research Scientist
Top AI Employers (Industry-Wide):
Top employers include aerospace firms like Lockheed Martin and Boeing, tech companies such as Boston Dynamics and Google, automotive manufacturers like Tesla, and research institutions like NASA.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 27,930
Format
On-Campus, Online
Specializations
Official Resources
Program Website
Request Information