University of Pittsburgh

How this program compares

At an estimated $82.7K in total tuition, the PhD in Intelligent Systems sits roughly 5% below the $87.2K average for AI doctoral programs in our database — placing it in the 58th percentile on cost among the 36 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A master's degree in a related field such as computer science, engineering, or mathematics is preferred, along with a strong GPA, research experience, and relevant technical background. GRE scores are often required or recommended, with emphasis on quantitative skills.

About This Program

This interdisciplinary doctoral program focuses on advanced research in artificial intelligence, machine learning, and the development of intelligent technologies. Most students complete it in about 5 years.

Budget planners should note $82.7K estimated total tuition (58th percentile among AI doctoral programs, below the $87.2K average). That puts it in the mid-range on price among comparable programs.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in higher than about 61% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $140,000.

Design and implement advanced machine learning models for complex systems.

Career Outcomes

The PhD in Intelligent Systems at University of Pittsburgh (Pittsburgh, Pennsylvania) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $140,000. Its focus on Machine Learning and Tech 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. Intelligent Systems Professor
• 4. Robotics Systems Architect

What You'll Learn

• Design and implement advanced machine learning models for complex systems.
• Conduct original research in artificial intelligence and computational intelligence.
• Analyze and apply intelligent systems to real-world interdisciplinary problems.
• Develop algorithms for autonomous decision-making and data-driven predictions.

Curriculum Highlights

The curriculum involves core studies in artificial intelligence and machine learning, supplemented by research-intensive seminars and the completion of a doctoral dissertation.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and research institutions such as national labs and universities.

Admissions

Admission to University of Pittsburgh's PhD in Intelligent Systems generally expects a master's preferred. 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