NC

Master's in ML
On-Campus, Online, Hybrid

Duke University

Master of Engineering Management – Data Analytics and Machine Learning

  • Durham
About This Program

This program combines a core management curriculum with technical electives in data science, designed for engineers and scientists who want to lead technology-focused organizations.

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What You'll Learn

Students learn to manage engineering teams, make strategic business decisions, and apply data analytics and machine learning theories to improve business performance and optimize operational processes.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes core courses in finance and marketing, a specialized track in data analytics, a seminar series with industry experts, and a required internship for professional experience.
Typical Course Topics
1. Data Science Foundations 2. Machine Learning Algorithms 3. Data Visualization and Analytics 4. Financial Analysis for Engineers 5. Applied Machine Learning 6. Predictive Analytics for Business
Program Specializations:
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 quantitative field with a minimum GPA of 3.0 is required, along with relevant professional experience preferred for this management-focused master's program.
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.

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Career Opportunities in AI

Excel as Product Analyst in Business 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
Engineering Manager - Data Analytics: $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. Machine Learning Operations Lead 3. Engineering Program Manager 4. Business Intelligence Director
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, and Microsoft, as well as engineering consultancies and high-tech industries such as aerospace and manufacturing.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 69,600
Format
On-Campus, Online, Hybrid
Specializations
Official Resources
Program Website
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