Duke University

Duke University

About This Program

This flexible Master of Science degree prioritizes technical depth and research, allowing students to build expertise in areas such as AI-driven systems and next-generation computing platforms.

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What You'll Learn

Students gain advanced knowledge in ECE domains like software engineering and hardware design, with the option to specialize in machine learning and artificial intelligence for research-focused careers.

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 program features five structured study tracks, including a dedicated AI/ML specialization, and offers an optional thesis grounded in faculty-led research and doctoral-level seminars.

Full-Time

Program Specializations:

MLOps/AI Engineering, Machine Learning

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

Admissions

Careers

Lead as Software Developer in Engineering AI with machine learning expertise

Program Details

Duration

1.5 Years

Tuition

67724

View funding options →

Format

On-Campus

Specializations

MLOps/AI Engineering, Machine Learning

Official Resources

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