CA

Master's in AI
On-Campus

University of California, Berkeley

MEng in Robotic & Autonomous Systems

  • Berkeley
About This Program

This engineering program focuses on the design and implementation of autonomous infrastructure and smart robotic technologies.

Student Reviews
Write a Review
What You'll Learn

Learners develop the skills to lead innovation in robotics, control systems, and intelligent multi-agent environments.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program structure combines technical robotics courses with leadership development and professional engagement in the tech sector.
Typical Course Topics
1. Robot Motion Planning 2. Autonomous Vehicle Control 3. Sensor Fusion for Robotics 4. Machine Learning for Autonomous Systems 5. Behavior Trees in Robotics 6. Model Predictive Control
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 a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, control systems, and mathematics. Strong technical background in robotics or AI is preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

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

Advance as Robotics Engineer in Autonomous Vehicles with robotics expertise

Estimated Industry Salary
Robotics Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Software Engineer 2. Autonomous Systems Engineer 3. Motion Planning Specialist 4. AV Perception Engineer
Top AI Employers (Industry-Wide):
Top employers include Tesla, Waymo, Boston Dynamics, and NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 48,420
Format
On-Campus
Specializations
Official Resources
Program Website
Request Information