Carnegie Mellon University

Carnegie Mellon University

About This Program

This program provides rigorous training in the design, engineering, and deployment of practical artificial intelligence applications for industry.

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What You'll Learn

Students learn advanced machine learning, natural language processing, and big data analytics to solve complex, real-world problems.

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 core AI classes, knowledge area requirements, electives, a summer internship, and an innovation-focused capstone project.

Full-Time

Program Specializations:

Machine Learning, Natural Language Processing (NLP)

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

Admissions

Careers

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

Program Details

Duration

2 Years

Tuition

163410

View funding options →

Format

On-Campus

Specializations

Machine Learning, Natural Language Processing (NLP)

Official Resources

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