University of Pennsylvania
PhD in Computer and Information Science (AI/ML)
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
Use the benchmarks below to weigh the PhD in Computer and Information Science (AI/ML) against the 1,065 AI programs we track.
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. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.
Lead 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 $120,000–$180,000.
Career Outcomes
Lead advanced AI Research Scientist in Cross-Industry AI through machine learning
- 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
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].
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume/CV: Required
- Transcripts: Official transcripts required
- Research Statement or Writing Sample: Often required
Academic Requirements
- Degree Required: PhD (Doctor of Philosophy)
- GRE: Often required; quantitative score typically 160+
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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