Duke University

How this program compares

At an estimated $117.9K in total tuition, the Online Master of Engineering in Artificial Intelligence sits about 178% above the $42.4K average for AI master's programs in our database — placing it in the 97th 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 computer science, engineering, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and quantitative coursework in linear algebra and probability.

About This Program

This online program focuses on developing artificial intelligence solutions for software product innovation and entrepreneurial ventures. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.

Estimated total tuition is $117.9K, above the $42.4K average for AI master's programs in our database and in the 97th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Position 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

Position as Product Analyst in Engineering AI with machine learning expertise

• 1. AI/ML Engineer
• 2. Data Scientist
• 3. Computer Vision Specialist
• 4. NLP Engineer

What You'll Learn

• Design and implement machine learning models for supervised and unsupervised tasks.
• Develop deep neural networks for applications in computer vision and NLP.
• Apply reinforcement learning techniques to optimize AI systems.
• Build and deploy AI solutions through real-world capstone projects.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as consulting firms and AI-focused startups.

Admissions

A bachelor's degree in computer science, engineering, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and quantitative coursework in linear algebra and probability.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 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+)