MA

PhD in AI
On-Campus

Massachusetts Institute of Technology

PhD in Computer Science (AI)

  • Cambridge
About This Program

A research-intensive doctoral program that recognizes computational science and engineering as a standalone discipline, advancing the state of the art in machine learning and predictive control.

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What You'll Learn

Students develop broadly applicable computational approaches and deep expertise in their research field, mastering discretization, optimization, statistics, and data-driven modeling for secure AI systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires nine graduate subjects covering six "ways of thinking," a doctoral seminar, and a significant original thesis contribution defended before a faculty committee.
Typical Course Topics
1. Advanced Machine Learning 2. Deep Neural Networks 3. Reinforcement Learning 4. Natural Language Processing 5. Computer Vision 6. AI Ethics and Fairness
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's or master's degree in computer science or related field with strong GPA, research experience, and technical background in programming and mathematics is required. GRE scores are often optional, with emphasis on research potential and letters of recommendation.
Academic Requirements (Typical)

• Degree Required: Bachelor’s or Master’s in related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Research Scientist: $150,000 Machine Learning Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Professor 3. AI Systems Architect 4. Principal AI Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, OpenAI, Microsoft Research, and Meta AI.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 64,310
Format
On-Campus
Specializations
Official Resources
Program Website
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