Carnegie Mellon University

Carnegie Mellon University

About This Program

This graduate degree offers rigorous study in the theory and application of machine learning for professionals seeking advanced technical roles.

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What You'll Learn

Students develop proficiency in neural networks, natural language processing, and multimodal learning to solve high-stakes data challenges.

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 program includes a series of core courses in machine learning and statistics, along with a variety of specialized technical electives.

Full-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Program Details

Duration

1.33 Years

Tuition

120800

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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