Massachusetts Institute of Technology
PhD in Computer Science (AI)
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
At an estimated $64.3K in total tuition, the PhD in Computer Science (AI) sits roughly 22% below the $82.9K average for AI doctoral programs in our database β placing it in the 48th percentile on cost among the 42 we track at this level.
Admission Snapshot
Typical admitted student: 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.
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. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.
Estimated total tuition is $64.3K, below the $82.9K average for AI doctoral programs in our database and in the 48th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Pursue 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 $145,000.
Career Outcomes
Pursue advanced AI Research Scientist in Cross-Industry AI through machine learning
- 1. AI Research Scientist
- 2. Machine Learning Professor
- 3. AI Systems Architect
- 4. Principal AI Engineer
What You'll Learn
- Design and analyze advanced AI algorithms for complex problem-solving
- Conduct original research in machine learning and neural networks
- Develop AI systems for applications like computer vision and natural language processing
- Evaluate ethical implications and biases in AI models
Curriculum Highlights
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.
Top Employers
Top employers include Google, OpenAI, Microsoft Research, and Meta AI.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's or Master's in related field
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.