Carnegie Mellon University

Carnegie Mellon University

About This Program

This master's degree blends technical expertise with management training to prepare students for leading technology-driven projects in various sectors.

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What You'll Learn

Graduates gain fluency in digital infrastructure, data-driven decision-making, and the ability to bridge technical systems with organizational goals.

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 covers distributed systems, database management, digital transformation, statistics, and a collaborative information systems capstone project.

Full-Time

Program Specializations:

MLOps/AI Engineering, AI Ethics/Policy

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

Admissions

Careers

Position as Data Scientist in Business AI with advanced technology expertise

Program Details

Duration

1 Years

Tuition

57420

View funding options →

Format

On-Campus

Specializations

MLOps/AI Engineering, AI Ethics/Policy

Official Resources

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