Duke University

How this program compares

At an estimated $99.0K in total tuition, the Master of Engineering in AI for Product Innovation sits about 133% above the $42.4K average for AI master's programs in our database — placing it in the 95th percentile on cost among the 531 we track at this level. It is one of the 57% 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 in programming, math, or AI fundamentals.

About This Program

This intensive program focuses on the intersection of machine learning and product design, preparing engineers to lead the development of intelligent software solutions in a professional environment. Coursework concentrates on Deep Learning and MLOps/AI Engineering. Most students complete it in about 1 year.

Estimated total tuition is $99.0K, above the $42.4K average for AI master's programs in our database and in the 95th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as Machine Learning Engineer in Business AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.

Career Outcomes

Excel as Machine Learning Engineer in Business AI with machine learning expertise

• 1. AI Product Manager
• 2. Product Innovation Lead
• 3. AI Strategy Consultant
• 4. Machine Learning Product Engineer

What You'll Learn

• Design and manage the full AI product lifecycle from ideation to deployment.
• Apply machine learning and generative AI to solve real-world product challenges.
• Integrate ethical considerations and user needs into AI-driven innovations.
• Lead cross-functional teams in developing scalable AI products.

Curriculum Highlights

The 12-to-16-month curriculum includes technical core courses in AI, product development coursework in collaboration with the business school, and a required industry-connected capstone project.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and innovative firms such as NVIDIA and startups in AI-driven product development.

Admissions

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 in programming, math, or AI fundamentals.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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+)