University of California, Berkeley
MEng in Robotic & Autonomous Systems
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
University of California, Berkeley's MEng in Robotic & Autonomous Systems lists about $48.4K total tuition — about 13% above the $42.9K AI master's average (67th percentile in our data). It runs on a full-time schedule (on-campus).
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. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 1 year.
It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in cheaper than about 56% of the California programs in our data, where typical tuition runs near $63.3K.
Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.
Design motion planning algorithms for autonomous robots and vehicles.
Budget planners should note $48.4K estimated total tuition (67th percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.
Career Outcomes
The MEng in Robotic & Autonomous Systems at University of California, Berkeley (Berkeley, California) is oriented toward Robotics Engineer hiring, with alumni reporting pay near $120,000. Its focus on Robotics & Autonomous Systems and Tech maps directly to how employers in autonomous vehicles screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 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
Admission to University of California, Berkeley's MEng in Robotic & Autonomous Systems generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
What distinguishes the MEng in Robotic & Autonomous Systems at University of California, Berkeley?
This engineering program focuses on the design and implementation of autonomous infrastructure and smart robotic technologies.
Can you complete the MEng in Robotic & Autonomous Systems online through University of California, Berkeley?
This program is listed as on-campus, so plan for on-campus attendance. University of California, Berkeley may offer other online AI options — verify current formats before applying.
How much does the MEng in Robotic & Autonomous Systems cost?
We estimate total tuition at roughly $48.4K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with University of California, Berkeley.
Does the MEng in Robotic & Autonomous Systems require the GRE?
No — University of California, Berkeley does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MEng in Robotic & Autonomous Systems take to complete?
Most students finish in about 1 year for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MEng in Robotic & Autonomous Systems?
Graduates commonly pursue roles such as Robotics Engineer, with reported pay around $120,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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