MasterOnline, HybridPart-Time

Duke University

Online Master of Engineering in AI for Product Innovation

Durham, North Carolina2 years$103K total tuition
Visit Program Website ↗

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$140,000
Job Growth+23%
Top RoleProduct Analyst
FormatOnline, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$103K total
Format
Online, Hybrid
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, Deep Learning

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.

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+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs