Carnegie Mellon University

Carnegie Mellon University

About This Program

This doctoral program trains students to lead machine learning research through interdisciplinary coursework and cutting-edge data analysis projects.

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What You'll Learn

Graduates gain the expertise to pioneer new algorithms and foundational theories in statistics, optimization, and complexity.

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 Carnegie Mellon University, visit their official program website.

Typical Course Topics

                   The curriculum is built on core machine learning courses, advanced statistics, research rotations, and a significant doctoral dissertation.

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

201600

View funding options →

Format

On-Campus

Specializations

Official Resources

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