Degree Details
Duke's program is recognized as one of the top applied AI/ML graduate programs in the world
Degree Details
Duke’s program is recognized as one of the top applied AI/ML graduate programs in the world
Overview
Our Master of Engineering in Artificial Intelligence for Product Innovation students develop strong technical skills in AI and machine learning coupled with a deep understanding of how to design and build AI-powered software products.
Graduates go on to work in leading companies solving challenging problems across many industries—including tech, healthcare, energy, retail, transportation, and finance. Some of our students go on to found their own entrepreneurial ventures.
At Duke, you’ll learn to:
- Design and develop machine learning systems for scale, security and usability
- Apply traditional machine learning and deep learning models to solve challenging problems across domains
- Build full-stack software applications integrating machine learning models utilizing the latest methods and technologies
- Design and deploy software applications in production
This program may be for you if you have an educational or work background in engineering, science or technology and aspire to a career working hands-on in AI. See our application requirements for details.
Industry-Connected Curriculum
This degree’s core curriculum was developed in collaboration with the industry.
- Build a personal portfolio of real-world, hands-on AI and machine-learning projects
- Receive individual advising, academic and career, from outstanding, world-class faculty
- Be engaged with peers from around the world as part of a small, intimate, and immersive cohort
We prepare graduates who are ready to solve problems on the job, starting on Day 1.
Our curriculum covers the theory and application of AI and machine learning, heavily emphasizing hands-on learning via real-world problems and projects in each course.
Students also have two opportunities to work directly with industry leaders during the program: through the semester-long industry project and their summer internship.
Flexibility and Options
12 or 16 month on-campus or 24 months online
Innovative and immersive, you can complete this Duke master’s degree in 12 or 16 months on-campus, or online part-time in just 24 months.
12-Month Accelerated Option
Significantly more affordable than a traditional master’s program—in this option, pay tuition for only two (2) full semesters plus three (3) summer session credits.
16-Month Standard Track
Pursue this degree over three (3) full semesters plus the summer session—allowing you time to take additional electives and specialize. Students pursuing this path may take a partial or whole load of courses during their final semester.
4+1: BSE + Master’s Option for Duke Undergraduates
Duke undergraduate students can complete undergrad and this master’s degree in just five (5) years.
Scholarship opportunity: The AI 4+1 BSE+Master’s scholarship covers 20 percent of the costs. Eligibility and other conditions apply.
MD + MEng in Artificial Intelligence Dual Degree
Medical students at Duke can complete this degree during their third year. See School of Medicine bulletin for details.
Scholarship opportunity: The MD+MEng AI scholarship covers 20 percent of the costs. Eligibility and other conditions apply.
Curriculum Schedules
The core of the curriculum follows a cohort-based course sequence. Select an option to view the schedule options.
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Summer Fall Spring Summer Pre-requisite
AIPI 503: Python & Data Science Math BootcampAIPI 510: Sourcing Data for Analytics MENG 540: Management of High-tech Industries AIPI 560: Legal, Societal & Ethical Implications of AI AIPI 520: Modeling Process & Algorithms AIPI 540: Deep Learning Applications AIPI 561: Operationalizing AI (MLOps) AIPI Departmental Elective AIPI 549: Industry Capstone Project Industry Internship or Project MENG 570: Business Fundamentals for Engineers Technical Elective 1 AIPI 501: Industry Seminar Series Technical Elective 2 EGR 590: Career Strategy & Design -
Summer Fall 1 Spring Summer Fall 2 Pre-requisite—
AIPI 503: Python & Data Science Math BootcampAIPI 510: Sourcing Data for Analytics AIPI 540: Deep Learning Applications AIPI 560: Legal, Societal & Ethical Implications of AI AIPI Departmental Elective AIPI 520: Modeling Process & Algorithms AIPI 549: Industry Capstone Project AIPI 561: Operationalizing AI (MLOps) Technical Elective 2 MENG 570: Business Fundamentals for Engineers MENG 540: Management of High-Tech Industries Industry Internship or Project AIPI 501: Industry Seminar Series Technical Elective 1 EGR 590: Career Strategy & Design -
Pre-Program Year 1 Summer Fall
Spring
Summer
Pre-requisite
AIPI 503:
Python & Data Science Math BootcampAIPI 510:
Sourcing Data for AnalyticsAIPI 520:
Modeling Process & AlgorithmsAIPI 540:
Deep Learning ApplicationsMENG 570:
Business
Fundamentals for EngineersMENG 540:
Management of
High-Tech IndustriesAIPI 501:
Industry Seminar SeriesOn-Campus
ResidencyYear 2 Fall
Spring
Summer AIPI
Departmental ElectiveAIPI 549:
Industry Capstone ProjectAIPI 560: Legal,
Societal & Ethical Implications of AITechnical
Elective 1Technical
Elective 3AIPI 561: Operationalizing
AI (MLOps)On-Campus Residency
Degree Requirements
Pre-Program Bootcamp
- Summer Online Python & Data Science Math Boot Camp
10 Courses
- Four (4) Technical AI/ML courses—a strong technical foundation
- Three (3) Product Development courses—developed with Duke’s Law School and Fuqua School of Business including the business, legal & ethical aspects of AI products
- Three (3) Technical electives—specialize in preparation for your chosen career
Browse course descriptions
2 Industry Experiences
- Industry project—design a solution to an authentic opportunity offered by a sponsoring organization
- A summer internship or industry project—gain industry experience
Additional Requirements
- Learn from leaders building AI products during regular industry seminars
- Jump-start your professional development with our Career Strategy and Design workshop for on-campus students
- Meet peers and faculty during two (2) required residencies on the Duke campus for online students
Compare Online and On-Campus
The choice of online or on-campus is up to you – all students take the same courses, learn from the same faculty, and earn the same Duke degree.
Item | Online (part-time) | On-Campus (full-time) |
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Time to Degree |
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Python & Data Science Math Boot Camp |
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Class Experience |
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Professional Development |
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Academic Advising |
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Career Services & Professional Development |
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