Massachusetts Institute of Technology

Massachusetts Institute of Technology

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

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Massachusetts Institute of Technology, visit their official program website.

Typical Course Topics

                   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.

Full-Time

Program Specializations:

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

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

Program Details

Duration

5 Years

Tuition

64310

View funding options →

Format

On-Campus

Specializations

Official Resources

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