NC

Master's in DS/DA
Online, Hybrid

Duke University

Online Master of Engineering Management – Data Analytics & ML

  • Durham
About This Program

This interdisciplinary program combines engineering technical depth with essential business management skills for leadership roles in technology-focused organizations.

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What You'll Learn

Students develop competencies in leadership, project management, data analytics, and decision-making at the intersection of technology and business.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Typical Course Topics
1. Data Science Fundamentals 2. Machine Learning Algorithms 3. Data Visualization and Analytics 4. Financial Analysis with Data 5. Deep Learning Applications 6. Bayesian Methods in ML
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
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: 2–3
• 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.

Check Application Deadlines
Career Opportunities in AI

Excel as Product Analyst in Business AI with data analytics expertise

Estimated Industry Salary
Engineering Manager (Data/ML): $135,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Analytics Manager 2. ML Product Manager 3. Engineering Leadership in AI 4. Business Intelligence Director
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies such as McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 69,600
Format
Online, Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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