Rice University

How this program compares

Budget-wise, $249.9K puts this doctoral program at the 94th percentile on cost — about 187% above the $87.2K average across 36 comparable listings. It runs on a full-time schedule (on-campus).

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. Most students complete it in about 5 years.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Design and implement advanced machine learning models for complex data problems.

Budget planners should note $249.9K estimated total tuition (94th percentile among AI doctoral programs, above the $87.2K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 95% of the Texas programs in our data, where typical tuition runs near $41.5K.

Career Outcomes

Graduates of Rice University's PhD in Computer Science (AI & ML) most often target AI Research Scientist roles, where reported compensation runs around $145,000. Its focus on Machine Learning 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. 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

Admission to Rice University's PhD in Computer Science (AI & ML) generally expects a master's degree preferred (bachelor's acceptable with strong research background). 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