Duke University

How this program compares

Budget-wise, $87K puts this master's program at the 93rd percentile on cost — about 103% above the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in engineering, computer science, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, statistics, and calculus; work experience in data or tech roles is preferred but not mandatory.

About This Program

This program offers an engineering management degree with a specialized focus on data analytics and artificial intelligence for technical leaders. Most students complete it in about 2 years.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $130,000.

Build and deploy machine learning models for data-driven decision-making.

At roughly $87K total, Duke University's Online MEM – Data Analytics & ML (AI Option) sits above the $42.9K average among AI master's programs we track — the 93rd percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 31 AI-related programs we track in North Carolina, of which about 45% offer an online option. On price, it comes in higher than about 68% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Career Outcomes

Graduates of Duke University's Online MEM – Data Analytics & ML (AI Option) most often target Product Analyst roles, where reported compensation runs around $130,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Product Manager
• 4. Analytics Consultant

What You'll Learn

• Build and deploy machine learning models for data-driven decision-making.
• Apply deep learning techniques to complex datasets including images and text.
• Analyze large-scale data using advanced analytics and visualization tools.
• Develop AI solutions addressing real-world problems with ethical considerations.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and consulting firms such as McKinsey and Deloitte.

Admissions

Admission to Duke University's Online MEM – Data Analytics & ML (AI Option) generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions