CA

Master's in AI
On-Campus

University of California, San Diego

MS in ECE – Intelligent Systems, Robotics, and Control

  • La Jolla
About This Program

This graduate specialization emphasizes the mathematical and computational foundations of modern systems science, focusing on the control of complex dynamical systems in uncertain environments.

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What You'll Learn

Graduates will master techniques for sensor fusion, robotic planning, and real-time control adjustments while developing advanced skills in statistical learning and stochastic processes.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The curriculum features core coursework in linear algebra and sensing and estimation, with advanced topics in robot reinforcement learning, convex optimization, and computer vision.
Typical Course Topics
1. Introduction to Robotics 2. Robot Perception and Sensing 3. Motion Planning and Control 4. Intelligent Systems and AI for Robotics 5. Embedded Systems for Control 6. Multi-Robot Coordination and Swarm Robotics
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with foundational coursework in linear algebra, programming, and control systems.
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: 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

Thrive as Robotics Engineer in Engineering AI with computer vision expertise

Estimated Industry Salary
Robotics Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
7.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Control Systems Engineer 3. Autonomous Systems Developer 4. AI Robotics Researcher
Top AI Employers (Industry-Wide):
Top employers include robotics firms like Boston Dynamics, tech companies such as Google and NVIDIA, aerospace leaders like Boeing and SpaceX, and research labs at NASA and DARPA.
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Program Details
Duration
  • 2 Year
Tuition
  • 61,308
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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