Duke University

Duke University

About This Program

This two-year applied program prepares students to lead data-driven teams by combining rigorous technical training in statistics and computation with professional skills in communication, teamwork, and ethical leadership.

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What You'll Learn

Graduates gain expertise in statistical modeling, machine learning, data wrangling, and database systems, while learning to ask critical questions and provide actionable insights using real-world datasets.

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 curriculum features a technical bootcamp, seven core courses covering data ethics and visualization, a mandatory summer internship, and a year-long capstone project with research faculty or partners.

Full-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

Program Details

Duration

2 Years

Tuition

67724

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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