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 143% above the $42.4K average for AI master's programs in our database — placing it in the 96th 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 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.

Estimated total tuition is $102.9K, above the $42.4K average for AI master's programs in our database and in the 96th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as Product Analyst in Engineering AI with machine learning expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.

Career Outcomes

Thrive as Product Analyst in Engineering AI with machine learning expertise

• 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

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.

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 80+ / IELTS 6.5+)