Duke University

Duke University

About This Program

This program provides a firm grounding in the theoretical foundations of computer science while offering training in current technologies and applications for research or industry careers.

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What You'll Learn

Students develop expertise in algorithms, computational complexity, and systems architecture, with the ability to specialize in high-demand areas through advanced coursework and elective choices.

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 Duke University, visit their official program website.

Typical Course Topics

                   The 30-credit program offers both coursework-only and thesis/project options, requiring advanced courses in computer science and related fields, alongside a final oral examination milestone.

Full-Time

Program Specializations:

Machine Learning, MLOps/AI Engineering

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

Admissions

Careers

Position as Machine Learning Engineer in Cross-Industry AI with algorithms expertise

Program Details

Duration

1.5 Years

Tuition

67724

View funding options →

Format

On-Campus

Specializations

Machine Learning, MLOps/AI Engineering

Official Resources

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