Duke University

Duke University

About This Program

This program integrates advanced electrical and computer engineering principles with big data and machine learning techniques, preparing graduates for technical leadership in data-intensive global industries.

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What You'll Learn

Students gain proficiency in programming for machine learning, statistical modeling, and deep learning, while also learning business fundamentals and management strategies for high-tech environments.

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 structure consists of eight technical courses in areas like signal detection and parallel computing, two industry preparation courses, and a mandatory summer internship for practical experience.

Full-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

Position as Machine Learning Engineer in Engineering AI with machine learning expertise

Program Details

Duration

1.5 Years

Tuition

102930

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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