MasterOn-CampusFull-Time

University of California, Berkeley

MEng in Robotic & Autonomous Systems

Berkeley, California1 years$48K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $48.4K in total tuition, the MEng in Robotic & Autonomous Systems sits about 14% above the $42.4K average for AI master's programs in our database β€” placing it in the 68th percentile on cost among the 531 we track at this level.

Est. Salary$120,000
Job Growth+15%
Top RoleRobotics Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$48K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Robotics & Autonomous Systems, Tech

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. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 1 year.

Estimated total tuition is $48.4K, above the $42.4K average for AI master's programs in our database and in the 68th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Robotics Engineer in Autonomous Vehicles with robotics expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.

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+)

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