Duke University

Duke University

About This Program

This undergraduate degree track integrates rigorous computer science training with a deep dive into the mechanisms of artificial intelligence and its practical implementations.

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What You'll Learn

Students gain proficiency in designing and evaluating machine learning models, understanding probabilistic reasoning, and implementing intelligent software solutions for complex data analysis tasks.

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 includes prerequisite mathematics and introductory computing courses followed by a specialized concentration requirement focusing on machine learning, deep learning, and algorithmic foundations.

Full-Time

Program Specializations:

Generative AI and LLMs, Computer Vision

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

Admissions

Careers

Begin Machine Learning Engineer career in Cross-Industry AI with machine learning focus

Program Details

Duration

4 Years

Tuition

281060

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Format

On-Campus

Specializations

Generative AI and LLMs, Computer Vision

Official Resources

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