NC

Master's in AI
On-Campus, Online, Hybrid

Duke University

Master of Engineering in Artificial Intelligence

  • Durham
About This Program

This engineering degree provides a solid foundation in the theory and application of artificial intelligence, with an emphasis on building and deploying intelligent systems for commercial and industrial use.

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What You'll Learn

Learners master traditional machine learning and deep learning models, full-stack software development for AI products, and the legal and ethical implications of autonomous technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program is structured with four technical AI/ML courses, three product development courses, three technical electives for career specialization, and a significant industry-based internship or project.
Typical Course Topics
1. Foundations of Machine Learning 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. AI Model Development and Deployment 5. Generative AI and Agentic Technologies 6. AI Capstone Project
Program Specializations:
Deep Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Requires a bachelor's degree in computer science, engineering, or a related STEM field with a minimum GPA of 3.0, programming experience, and coursework in probability, statistics, and linear algebra. GRE is optional; relevant internships or projects strengthen applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Lead as Machine Learning Engineer in Business AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Product Manager 3. Data Scientist 4. AI Research Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, and consulting firms like McKinsey and BCG.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 102,930
Format
On-Campus, Online, Hybrid
Specializations
Deep Learning
MLOps/AI Engineering
Official Resources
Program Website
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