Carnegie Mellon University

Carnegie Mellon University

About This Program

This professional degree focuses on processing and analyzing unstructured information, including text, image, video, speech, and audio data.

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What You'll Learn

Students learn to master content analysis, mining, and intelligent technologies for careers in industry or government research.

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 structure features coursework in machine learning and language technologies, directed study projects, and a group-oriented capstone project.

Full-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

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

Program Details

Duration

1.5 Years

Tuition

70392

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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