University of California, Berkeley

How this program compares

Budget-wise, $34.3K puts this master's program at the 53rd percentile on cost — roughly 20% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in electrical engineering, computer science, mechanical engineering, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and control systems.

About This Program

This professional, accelerated one-year program trains engineering leaders to design and control robotic systems while understanding the social and economic impacts of technology. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 1 year.

Design and implement embedded software for robotic platforms.

Estimated total tuition is $34.3K, below the $42.9K average for AI master's programs in our database and in the 53rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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 64% 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.

Career Outcomes

University of California, Berkeley positions this master track for Robotics Engineer careers — typical offers cluster around $120,000. Its focus on Robotics & Autonomous Systems and Tech maps directly to how employers in manufacturing ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 7% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Robotics Software Engineer
• 2. Embedded Systems Developer
• 3. Autonomous Systems Engineer
• 4. Robotics Controls Engineer

What You'll Learn

• Design and implement embedded software for robotic platforms.
• Develop algorithms for robot perception, navigation, and control.
• Integrate sensors, actuators, and real-time systems in autonomous robots.
• Optimize hardware-software interfaces for robotics applications.

Curriculum Highlights

The curriculum features a technical concentration in robotics, Fung Institute leadership courses, and an integrative year-long capstone project with industry partners.

Top Employers

Top employers include Tesla, Boston Dynamics, Google DeepMind, and NVIDIA.

Admissions

Admission to University of California, Berkeley's MEng in Robotics & Embedded Software generally expects a bachelor's degree. The GRE is not required 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