CA

Master's in AI, PhD in AI
On-Campus

University of California, Riverside

University of California, Riverside

  • Riverside
About This Program

This interdisciplinary graduate program, offered through a joint collaboration of three engineering departments, provides advanced training in the design, operation, and control of robotic systems.

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What You'll Learn

Students will learn to develop computational algorithms for sensor feedback, master machine learning foundations, and implement advanced perception systems for technologies like autonomous driving.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program consists of core courses in robotics planning, sensing, and navigation, with a specialized focus area in artificial intelligence and perception that includes computer vision.
Typical Course Topics
1. Computer Vision and Robot Perception 2. AI Robotics 3. Machine Learning for Robotics 4. Robotics and Spatial Intelligence 5. Visual SLAM and Localization 6. Deep Learning for Perception
Program Specializations:
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 coursework in programming, linear algebra, and calculus. Relevant experience in AI, robotics, or machine learning 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: 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

Advance as Robotics Engineer in Engineering AI with machine learning 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: $120,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Perception Engineer 2. AI Robotics Specialist 3. Computer Vision Engineer 4. Autonomous Systems Developer
Top AI Employers (Industry-Wide):
Top employers include Boston Dynamics, NVIDIA, Google DeepMind, and iRobot.
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Program Details
Duration
  • 1.33 Year
Tuition
  • 15,198
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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