Stanford University

How this program compares

Stanford University's PhD in Computer Science (AI) lists about $183.3K total tuition — about 110% above the $87.2K AI doctoral average (89th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's or master's degree in computer science or related field with strong GPA, research experience, and technical background in programming and algorithms is required; GRE is often optional.

About This Program

This research-intensive doctoral program is dedicated to advancing the boundaries of artificial intelligence through original investigation and high-level scholarship. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 6 years.

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 92% 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 $150,000.

Design and analyze advanced AI algorithms and models.

Budget planners should note $183.3K estimated total tuition (89th percentile among AI doctoral programs, above the $87.2K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

The PhD in Computer Science (AI) at Stanford University (Stanford, California) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $150,000. Its focus on Computer Vision and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. University Professor
• 4. AI Technical Lead

What You'll Learn

• Design and analyze advanced AI algorithms and models.
• Conduct original research in machine learning and AI applications.
• Develop expertise in neural networks, reinforcement learning, and probabilistic methods.
• Apply AI to real-world problems in vision, language, and decision-making.

Curriculum Highlights

The program involves advanced seminars, qualifying exams, and the completion of a dissertation based on original research in AI.

Top Employers

Top employers include Google, OpenAI, Meta AI, Microsoft Research, and tech firms like NVIDIA and Amazon.

Admissions

Admission to Stanford University's PhD in Computer Science (AI) generally expects a bachelor's or master's in related field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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

Frequently Asked Questions