NC

Master's in ML
On-Campus, Online

Duke University

Master of Engineering – Artificial Intelligence for Product Innovation

  • Durham
About This Program

This professional degree equips students with technical AI skills and the business acumen needed to design and build AI-powered software products across diverse industries like healthcare, finance, and tech.

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What You'll Learn

Students learn to design machine learning systems for scale and security, apply deep learning models to complex problems, and build full-stack software applications that integrate advanced AI models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes technical AI/ML core courses, product development courses covering business and legal aspects, technical electives for specialization, and a required industry project or summer internship.
Typical Course Topics
1. AI Foundations for Machine Learning 2. Generative AI and Agentic Technologies 3. AI Strategy and Product Innovation 4. Applied Data Science for AI 5. Natural Language Processing Applications 6. AI Capstone Project for Industry
Program Specializations:
AI Ethics/Policy
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience in Python and foundational knowledge in probability, statistics, and linear algebra.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as Product Analyst in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Product Manager: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Product Manager 2. Machine Learning Engineer for Products 3. AI Innovation Consultant 4. Product Innovation Lead
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, Microsoft, and innovative companies such as startups in AI-driven product development.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 68,620
Format
On-Campus, Online
Specializations
AI Ethics/Policy
Deep Learning
Official Resources
Program Website
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