Harvard University
PhD in Computer Science (AI & ML)
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
Use the benchmarks below to weigh the PhD in Computer Science (AI & ML) against the 1,065 AI programs we track.
Admission Snapshot
Typical admitted student: Requires a master's or bachelor's degree in computer science or related field, strong GPA (typically 3.5+), research experience, and technical proficiency in programming and mathematics. GRE is often optional, with emphasis on research statement and publications.
About This Program
A research-focused doctoral degree that explores the fundamentals of computation and its interaction with the world through artificial intelligence and machine learning. Coursework concentrates on Computer Vision and Natural Language Processing (NLP). Most students complete it in about 5 years.
Drive 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 $150,000.
Career Outcomes
Drive advanced AI Research Scientist in Cross-Industry AI through machine learning
- 1. AI Research Scientist
- 2. Machine Learning Engineer
- 3. University Professor
- 4. AI Policy Advisor
What You'll Learn
- Design and implement state-of-the-art machine learning models for complex data.
- Conduct original research in AI subfields like NLP and computer vision.
- Analyze algorithmic fairness, ethics, and societal impacts of AI systems.
- Develop novel AI techniques for real-world applications such as robotics and decision-making.
Curriculum Highlights
Requires graduate-level coursework in systems, theory, and breadth areas, followed by a qualifying examination, teaching fellowship, and a original dissertation research project.
Top Employers
Top employers include Google, OpenAI, Microsoft Research, Meta AI, and government research labs like DARPA.
Admissions
Requires a master's or bachelor's degree in computer science or related field, strong GPA (typically 3.5+), research experience, and technical proficiency in programming and mathematics. GRE is often optional, with emphasis on research statement and publications.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's preferred (Bachelor's acceptable with strong research background)
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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