NC

Master's in AI
Online, Hybrid

Duke University | Online Master of Engineering in Artificial Intelligence

  • Durham


About This Program

This online program focuses on developing artificial intelligence solutions for software product innovation and entrepreneurial ventures.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

What You'll Learn
  • Design and implement machine learning models for supervised and unsupervised tasks.
  • Develop deep neural networks for applications in computer vision and NLP.
  • Apply reinforcement learning techniques to optimize AI systems.
  • Build and deploy AI solutions through real-world capstone projects.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Duke University's Online Master of Engineering in Artificial Intelligence is a rigorous 3-semester graduate program emphasizing AI core concepts, machine learning technologies, and practical applications through coursework, projects, and a team-based capstone.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Capstone Project
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and quantitative coursework in linear algebra and probability.
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.

Check Application Deadlines
Career Opportunities in AI

Position as Product Analyst in Engineering AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Data Scientist 3. Computer Vision Specialist 4. NLP Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as consulting firms and AI-focused startups.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 117,900
Format
Online, Hybrid
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
Request Information