Carnegie Mellon University

Carnegie Mellon University

About This Program

This degree teaches students to design and build AI-orchestrated systems capable of operating within complex engineering constraints.

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What You'll Learn

Students learn to design system functionality alongside AI mechanisms, producing more adaptable, resilient, and trustworthy engineering solutions.

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 includes ECE AI core courses, domain-specific electives, and a graduate project focused on integrated AI-engineered systems.

Full-Time

Program Specializations:

Machine Learning, Deep Learning

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

Admissions

Careers

Position as Machine Learning Engineer in Engineering AI with trustworthy engineering expertise

Program Details

Duration

1.5 Years

Tuition

60336

View funding options →

Format

On-Campus

Specializations

Machine Learning, Deep Learning

Official Resources

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