University of Pittsburgh

How this program compares

At an estimated $82.7K in total tuition, the PhD in Intelligent Systems sits roughly 0% below the $82.9K average for AI doctoral programs in our database — placing it in the 62nd percentile on cost among the 42 we track at this level.

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. Coursework concentrates on Machine Learning and Tech. Most students complete it in about 5 years.

Estimated total tuition is $82.7K, below the $82.9K average for AI doctoral programs in our database and in the 62nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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 $140,000.

Career Outcomes

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

• 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

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.

Application Materials

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

Academic Requirements

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