CA

Master's in AI
On-Campus

University of California, Los Angeles | Master of Engineering - Autonomous Systems

  • Los Angeles
About This Program

This professional one-year program integrates expertise from multiple engineering disciplines to train leaders in the design and management of reliable, safe, and secure autonomous robotic devices.

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What You'll Learn

  • Students will learn to master recent advances in control systems, robot kinematics, and machine learning while developing the business and technology management skills required for industry.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Engineering in Autonomous Systems is a one- to two-year graduate program focused on designing, controlling, and deploying intelligent robotic and vehicle systems.
Typical Course Topics
1. Autonomous Vehicle Perception 2. Robot Motion Planning 3. Control Systems for Cyber-Physical Systems 4. Machine Learning for Robotics 5. Embedded Systems for Autonomous Navigation 6. Sensor Fusion and State Estimation
Program Specializations:
Computer Vision
Machine Learning
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 controls, programming, and mathematics. GRE scores are often optional, and prior experience in robotics or AI is preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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.

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Career Opportunities in AI

Lead as Robotics Engineer in Autonomous Vehicles with machine learning expertise

Estimated Industry Salary
Autonomous Systems Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
0.25%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Autonomous Systems Engineer 2. Robotics Software Developer 3. Control Systems Engineer 4. AI Perception Specialist
Top AI Employers (Industry-Wide):
Top employers include Waymo, Tesla, Boston Dynamics, and aerospace firms like Northrop Grumman.
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Program Details
Duration
  • 1.0 Year
Tuition
$ 52,920
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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