WA

PhD in AI
On-Campus

University of Washington

PhD in Computer Science (AI, ML track)

  • Seattle
About This Program

This research-intensive doctoral program prepares students for leadership roles in academia or industry through advanced study in computer science and artificial intelligence.

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What You'll Learn

Students acquire expertise in machine learning, robotics, and computer vision through original research, peer collaboration, and scholarly publication.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program includes advanced graduate coursework, research rotations, and the completion of a doctoral dissertation in a specialized AI field.
Typical Course Topics
1. Advanced Machine Learning 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Reinforcement Learning 5. Statistical Methods in Machine Learning 6. AI Systems and Applications
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field with strong quantitative skills. A Master's degree is preferred but not required. GRE scores, a statement of purpose, letters of recommendation from academic or research advisors, and demonstrated research interest in AI/ML are typically required.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree (Master’s preferred)
• GRE: Required
• 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

Drive advanced AI Research Scientist in Cross-Industry AI through machine 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
Machine Learning Engineer/Researcher: $130,000 AI Research Scientist: $135,000 Data Scientist (AI/ML): $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Researcher 2. AI Systems Engineer 3. Data Scientist 4. Research Scientist at Technology Companies
Top AI Employers (Industry-Wide):
Top employers for PhD graduates in AI/ML include Google, Microsoft, Meta, OpenAI, academic research institutions, and government laboratories such as NIST and national labs.
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Program Details
Duration
  • 5 Year
Tuition
  • 47,520
Format
On-Campus
Specializations
Official Resources
Program Website
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