Rice University
PhD in Computer Science (AI & ML)
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $249.9K in total tuition, the PhD in Computer Science (AI & ML) sits about 202% above the $82.9K average for AI doctoral programs in our database β placing it in the 95th percentile on cost among the 42 we track at this level.
Admission Snapshot
Typical admitted student: A master's degree in computer science or related field is preferred, along with a strong GPA (typically 3.5+), research experience in AI/ML, and programming proficiency. GRE scores are often optional, with emphasis on letters of recommendation highlighting research potential.
About This Program
This doctoral program prepares students for research and teaching careers, focusing on deep expertise in sub-disciplines like artificial intelligence and machine learning. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.
Estimated total tuition is $249.9K, above the $82.9K average for AI doctoral programs in our database and in the 95th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Pursue 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 $145,000.
Career Outcomes
Pursue advanced AI Research Scientist in Cross-Industry AI through machine learning
- 1. AI Research Scientist
- 2. Machine Learning Engineer
- 3. Data Science Professor
- 4. AI Technical Lead
What You'll Learn
- Design and implement advanced machine learning models for complex data problems.
- Conduct original research in AI algorithms and deep learning architectures.
- Apply AI/ML techniques to real-world domains like computer vision and NLP.
- Analyze ethical implications and scalability of AI systems.
Curriculum Highlights
The program involves 4-6 years of study, including qualifying exams, original research, a thesis proposal defense, and a final oral defense.
Top Employers
Top employers include Google, Meta, OpenAI, Microsoft, and research institutions like Rice University's Data Science Initiative.
Admissions
A master's degree in computer science or related field is preferred, along with a strong GPA (typically 3.5+), research experience in AI/ML, and programming proficiency. GRE scores are often optional, with emphasis on letters of recommendation highlighting research potential.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's degree preferred (Bachelor's acceptable with strong research background)
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
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