University of California, Berkeley

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: 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.

About This Program

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

Career Outcomes

Advance as Robotics Engineer in Autonomous Vehicles with robotics expertise

• 1. Robotics Software Engineer
• 2. Autonomous Systems Engineer
• 3. Motion Planning Specialist
• 4. AV Perception Engineer

What You'll Learn

• Design motion planning algorithms for autonomous robots and vehicles.
• Implement sensor fusion and perception systems for real-time navigation.
• Develop behavior-based control strategies for dynamic environments.
• Apply machine learning to optimize robotic decision-making and path following.

Curriculum Highlights

The program structure combines technical robotics courses with leadership development and professional engagement in the tech sector.

Top Employers

Top employers include Tesla, Waymo, Boston Dynamics, and NVIDIA.

Admissions

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.

Application Materials

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

Academic Requirements

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