Duke University
Online Master of Engineering in Artificial Intelligence
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: 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.
About This Program
This online program focuses on developing artificial intelligence solutions for software product innovation and entrepreneurial ventures.
Career Outcomes
Position as Product Analyst in Engineering AI with machine learning expertise
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. Computer Vision Specialist
- 4. NLP Engineer
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.
Top Employers
Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as consulting firms and AI-focused startups.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.