Duke University

How this program compares

At an estimated $102.9K in total tuition, the Online Master of Engineering in AI for Product Innovation sits about 140% above the $42.9K average for AI master's programs in our database — placing it in the 96th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with relevant coursework or experience in programming and mathematics.

About This Program

This part-time online degree is designed for working professionals to develop technical AI skills and product development expertise while maintaining their current career and location. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.

Design and deploy AI-driven products aligning technical capabilities with user needs and business goals.

Budget planners should note $102.9K estimated total tuition (96th percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 31 AI-related programs we track in North Carolina, of which about 45% offer an online option. On price, it comes in higher than about 77% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Career Outcomes

Duke University positions this master track for Product Analyst careers — typical offers cluster around $140,000. Its focus on Machine Learning and Deep Learning maps directly to how employers in engineering 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. AI Product Manager
• 2. Product Innovation Engineer
• 3. AI Strategy Consultant
• 4. Technical Product Lead

What You'll Learn

• Design and deploy AI-driven products aligning technical capabilities with user needs and business goals.
• Develop AI strategies for product innovation, including lifecycle management and scaling.
• Apply machine learning and generative AI techniques to build and prototype innovative features.
• Address ethical, legal, and operational challenges in AI product development.

Curriculum Highlights

The 24-month curriculum includes a pre-program bootcamp, a technical AI core, product development courses, on-campus residencies, and a required industry project or internship experience.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and innovative firms in AI-driven product development such as startups and consulting companies like McKinsey.

Admissions

Admission to Duke University's Online Master of Engineering in AI for Product Innovation 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions