Duke University

Duke University

About This Program

This research-oriented Master of Science focuses on the theoretical foundations of robotics and intelligent systems, preparing students for advanced technical roles or doctoral studies in the field.

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What You'll Learn

Students gain advanced knowledge in machine learning, vision, and control systems while developing research skills through independent study and engagement with faculty-led research laboratories.

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 flexible curriculum includes cornerstone project-based learning, advanced departmental courses in mechanical engineering, mathematics or statistics requirements, and a final research project or thesis.

Flexible

Program Specializations:

AI Ethics/Policy, MLOps/AI Engineering

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

Admissions

Careers

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

Program Details

Duration

1.5 Years

Tuition

33862

View funding options →

Format

On-Campus, Online, Hybrid

Specializations

AI Ethics/Policy, MLOps/AI Engineering

Official Resources

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