CA

PhD in AI
On-Campus

Stanford University

PhD in Computer Science (AI)

  • Stanford
About This Program

This research-intensive doctoral program is dedicated to advancing the boundaries of artificial intelligence through original investigation and high-level scholarship.

Student Reviews
Write a Review
What You'll Learn

Students gain the expertise required to conduct independent research in specialized areas like deep learning, robotics, and cognitive modeling.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program involves advanced seminars, qualifying exams, and the completion of a dissertation based on original research in AI.
Typical Course Topics
1. Advanced Machine Learning 2. Deep Learning and Neural Networks 3. Probabilistic Graphical Models 4. Reinforcement Learning 5. Natural Language Processing 6. Computer Vision
Program Specializations:
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s or Master’s in related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)

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.

Check Application Deadlines
Career Opportunities in AI

Pursue advanced AI Research Scientist in Cross-Industry AI through deep learning

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
AI Research Scientist: $150,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. University Professor 4. AI Technical Lead
Top AI Employers (Industry-Wide):
Top employers include Google, OpenAI, Meta AI, Microsoft Research, and tech firms like NVIDIA and Amazon.
Explore AI Career Paths
Program Details
Duration
  • 6 Year
Tuition
  • 183,330
Format
On-Campus
Specializations
Computer Vision
Official Resources
Program Website
Request Information