Carnegie Mellon University

Carnegie Mellon University

About This Program

This specialized concentration allows computer science majors to dive deep into the core principles of statistical machine learning and its applications.

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What You'll Learn

Students learn to formulate data problems for machine learning solutions and use probability and statistics to develop predictive models.

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

                   Requirements include core machine learning courses plus electives such as deep reinforcement learning, large datasets, and deep learning systems.

Full-Time

Program Specializations:

Machine Learning, Generative AI and LLMs

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

Admissions

Careers

Start Machine Learning Engineer career in Cross-Industry AI with machine learning focus

Program Details

Duration

4 Years

Tuition

279960

View funding options →

Format

On-Campus

Specializations

Machine Learning, Generative AI and LLMs

Official Resources

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