Harvard University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)