Duke University

Duke University

About This Program

This program offers a specialized pathway within the Computer Science major, focusing on the development and application of intelligent systems and data-driven algorithms.

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What You'll Learn

Students learn the mathematical and computational foundations of machine learning, including supervised and unsupervised learning, while exploring specialized areas like natural language processing and computer vision.

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 core computer science requirements, foundational mathematics, and a series of technical electives chosen from a curated list of artificial intelligence and machine learning courses.

Full-Time

Program Specializations:

Generative AI and LLMs, MLOps/AI Engineering

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

Admissions

Careers

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

Program Details

Duration

4 Years

Tuition

280800

View funding options →

Format

On-Campus

Specializations

Generative AI and LLMs, MLOps/AI Engineering

Official Resources

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