CA

Bachelor's in AI, Certificates in AI, Master's in AI, Master's in DS/DA, Master's in ML, PhD in AI
On-Campus

University of California, San Diego

University of California, San Diego

  • 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:
Visit Official Program Website
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 Robotics 6. Autonomous Systems and Multi-Robot Coordination
Program Specializations:
Machine Learning
Computer Vision
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

Lead as Robotics Engineer in Engineering AI with computer vision expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Robotics Engineer: $115,000
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 companies like Boston Dynamics, NVIDIA, Google DeepMind, and aerospace firms such as Boeing and Northrop Grumman.
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Program Details
Duration
  • 2 Year
Tuition
  • 61,308
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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