University of California, Los Angeles

How this program compares

At an estimated $105.6K in total tuition, the PhD in Computer Science (AI/Robotics) sits about 21% above the $87.2K average for AI doctoral programs in our database — placing it in the 72nd percentile on cost among the 36 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related field, with a competitive GPA (typically 3.5+). A master's degree in a related discipline is preferred but not always required. Strong background in mathematics, programming, and demonstrated research interest in AI or robotics is essential.

About This Program

This research-intensive doctoral program explores the design and analysis of computer systems that exhibit intelligent behavior through advanced reasoning and learning. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 5 years.

Design and implement machine learning systems for robotic perception, decision-making, and autonomous control.

At roughly $105.6K total, University of California, Los Angeles's PhD in Computer Science (AI/Robotics) sits above the $87.2K average among AI doctoral programs we track — the 72nd percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

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 higher than about 86% of the California programs in our data, where typical tuition runs near $63.3K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $140,000.

Career Outcomes

Graduates of University of California, Los Angeles's PhD in Computer Science (AI/Robotics) most often target AI Research Scientist roles, where reported compensation runs around $140,000. Its focus on Natural Language Processing (NLP) and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI/ML Research Scientist
• 2. Robotics Engineer
• 3. Autonomous Systems Developer
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning systems for robotic perception, decision-making, and autonomous control
• Conduct independent research in AI applications including computer vision, sensor fusion, and human-robot interaction
• Apply advanced mathematical modeling to solve complex robotics problems involving kinematics, dynamics, and path planning
• Develop professional competencies in research methodology, academic writing, conference presentations, and interdisciplinary collaboration

Curriculum Highlights

The program requires advanced graduate coursework, a faculty-sponsored research focus, and a significant original dissertation that advances the field of AI and robotics.

Top Employers

Top employers in AI and robotics include technology leaders like Google, Boston Dynamics, NVIDIA, Tesla, and major research institutions. Government agencies (DARPA, NSF) and defense contractors also actively recruit PhD graduates in this field.

Admissions

Admission to University of California, Los Angeles's PhD in Computer Science (AI/Robotics) generally expects a bachelor's (master's preferred). Plan for the GRE, which this program lists as required. 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
• Research Statement or Portfolio: Recommended

Frequently Asked Questions