Duke University

How this program compares

At an estimated $69.6K in total tuition, the Online Master of Engineering Management - Data Analytics & ML sits about 64% above the $42.4K average for AI master's programs in our database — placing it in the 85th 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, science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in technical or analytical roles; GRE is optional.

About This Program

This interdisciplinary program combines engineering technical depth with essential business management skills for leadership roles in technology-focused organizations. Coursework concentrates on Machine Learning and Data Science & Analytics. Most students complete it in about 2 years.

Estimated total tuition is $69.6K, above the $42.4K average for AI master's programs in our database and in the 85th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as Product Analyst in Business AI with data analytics expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $135,000.

Career Outcomes

Excel as Product Analyst in Business AI with data analytics expertise

• 1. Data Analytics Manager
• 2. ML Product Manager
• 3. Engineering Leadership in AI
• 4. Business Intelligence Director

What You'll Learn

• Apply machine learning models to engineering and business datasets for predictive analytics.
• Integrate data analytics with management principles for strategic decision-making.
• Develop data visualization tools to communicate insights to technical and non-technical stakeholders.
• Lead cross-functional teams in AI/ML projects within high-tech industries.

Top Employers

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

Admissions

A bachelor's degree in engineering, science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in technical or analytical roles; GRE is optional.

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 90+ / IELTS 7.0+)