Duke University
Master of Engineering in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
Duke University's Master of Engineering in Artificial Intelligence lists about $102.9K total tuition — about 140% above the $42.9K AI master's average (96th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: 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.
About This Program
Duke's Master of Engineering in Artificial Intelligence blends technical AI coursework with management and product training, preparing graduates to lead AI initiatives rather than only build models. The curriculum covers machine learning, deep learning, and AI product development.
The program suits engineers who want to move into AI leadership and product roles, combining Duke's brand with a practical, industry-aligned structure.
Why students choose it: Technical AI plus product/management training for future AI leaders.
Career Outcomes
Graduates of Duke University's Master of Engineering in Artificial Intelligence most often target Machine Learning Engineer roles, where reported compensation runs around $140,000. Its focus on Deep Learning and MLOps/AI Engineering maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. Machine Learning Engineer
- 2. AI Product Manager
- 3. Data Scientist
- 4. AI Research Engineer
What You'll Learn
- Build and deploy machine learning models for real-world AI applications.
- Apply deep learning techniques to computer vision and natural language processing.
- Develop AI strategies integrating product innovation and ethical considerations.
- Execute team-based AI projects simulating industry consulting scenarios.
Curriculum Highlights
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.
Top Employers
Top employers include Google, Microsoft, Amazon, Meta, and consulting firms like McKinsey and BCG.
Admissions
Admission to Duke University's Master of Engineering in Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
What makes Duke University's Master of Engineering in Artificial Intelligence stand out?
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.
Does Duke University offer the Master of Engineering in Artificial Intelligence in an online format?
Yes — Duke University lists this program as on-campus, online, hybrid, and it can be taken flexible. Confirm on-campus residency requirements, if any, on the official program page.
How much does the Master of Engineering in Artificial Intelligence cost?
We estimate total tuition at roughly $102.9K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with Duke University.
Does the Master of Engineering in Artificial Intelligence require the GRE?
No — Duke University does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the Master of Engineering in Artificial Intelligence take to complete?
Most students finish in about 1 year for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the Master of Engineering in Artificial Intelligence?
Graduates commonly pursue roles such as Machine Learning Engineer, with reported pay around $140,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.