University of Washington

How this program compares

At an estimated $47.5K in total tuition, the PhD in Computer Science (AI, ML track) sits roughly 43% below the $82.9K average for AI doctoral programs in our database — placing it in the 43rd percentile on cost among the 42 we track at this level.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.

Estimated total tuition is $47.5K, below the $82.9K average for AI doctoral programs in our database and in the 43rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Drive advanced AI Research Scientist in Cross-Industry AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Career Outcomes

Drive advanced AI Research Scientist in Cross-Industry AI through machine learning

• 1. Machine Learning Researcher
• 2. AI Systems Engineer
• 3. Data Scientist
• 4. Research Scientist at Technology Companies

What You'll Learn

• Design and implement advanced machine learning algorithms for complex, real-world problems
• Conduct independent research in emerging AI/ML areas and contribute to peer-reviewed publications
• Develop proficiency in deep learning, reinforcement learning, and statistical machine learning methodologies
• Apply AI/ML techniques to specialized domains such as computer vision, natural language processing, or autonomous systems

Curriculum Highlights

The program includes advanced graduate coursework, research rotations, and the completion of a doctoral dissertation in a specialized AI field.

Top Employers

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.

Admissions

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree (Master's preferred)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)