University of Pennsylvania

How this program compares

Compared with 819 AI programs in our database: This research-intensive doctoral program focuses on the scientific foundations of computer science and innovations in artificial intelligence and machine learning. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants typically hold a bachelor's degree in computer science, mathematics, or a related field, with strong coursework in linear algebra, calculus, and programming. A master's degree in computer science or AI is preferred but not always required; relevant research experience and demonstrated mathematical maturity are highly valued[1][3].

About This Program

This research-intensive doctoral program focuses on the scientific foundations of computer science and innovations in 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 $120,000–$180,000.

Design, train, and evaluate machine learning models at scale, with understanding of theoretical foundations and practical limitations.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option.

Career Outcomes

The PhD in Computer and Information Science (AI/ML) at University of Pennsylvania (Philadelphia, Pennsylvania) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $120,000–$180,000. Its focus on Artificial Intelligence & 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Research Scientist
• 2. AI Research Engineer
• 3. Applied AI Researcher (Industry or Government Labs)
• 4. ML Systems Architect

What You'll Learn

• Design, train, and evaluate machine learning models at scale, with understanding of theoretical foundations and practical limitations
• Conduct independent research contributing novel algorithms, frameworks, or insights to AI/ML advancement
• Develop expertise in specialized areas such as deep learning optimization, adversarial robustness, or interpretability
• Communicate complex technical research through peer-reviewed publications and professional presentations

Curriculum Highlights

The structure involves advanced graduate coursework, research seminars, qualifying exams, and the completion of a doctoral dissertation in AI/ML.

Top Employers

Top employers for AI/ML PhDs include tech companies like Google, Meta, OpenAI, Microsoft Research, DeepMind, Apple, and Amazon, as well as national laboratories (Berkeley Lab, Argonne) and government research agencies[1].

Admissions

Admission to University of Pennsylvania's PhD in Computer and Information Science (AI/ML) generally expects a phd (doctor of philosophy). Plan for the GRE, which this program lists as often required; quantitative score typically 160+. 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/CV: Required
• Transcripts: Official transcripts required
• Research Statement or Writing Sample: Often required

Frequently Asked Questions