Massachusetts Institute of Technology

How this program compares

Budget-wise, $64.3K puts this doctoral program at the 42nd percentile on cost — roughly 26% below the $87.2K average across 36 comparable listings. It runs on a full-time schedule (on-campus).

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.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Design and analyze advanced AI algorithms for complex problem-solving.

Estimated total tuition is $64.3K, below the $87.2K average for AI doctoral programs in our database and in the 42nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 27 AI-related programs we track in Massachusetts, of which about 56% offer an online option. On price, it comes in higher than about 65% of the Massachusetts programs in our data, where typical tuition runs near $58.9K.

Career Outcomes

The PhD in Computer Science (AI) at Massachusetts Institute of Technology (Cambridge, Massachusetts) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $145,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Massachusetts Institute of Technology's PhD in Computer Science (AI) generally expects a bachelor's or master's in related field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions