MasterOn-Campus, Online, HybridFlexible, Co-Op

Duke University

Master of Engineering Management - Data Analytics and Machine Learning

Durham, North Carolina1.5 $70K total tuition
Visit Program Website β†—

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$135,000
Job Growth+15%
Top RoleProduct Analyst
FormatOn-Campus, Online, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$70K total
Format
On-Campus, Online, Hybrid
Schedule
Flexible, Co-Op
GRE / GMAT
Required
Concentrations
Cybersecurity Management, Risk & Governance, AI Engineering / Applied AI

Typical admitted student: 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.

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.

Career Outcomes

Excel as Product Analyst in Business AI with machine learning expertise

  • 1. Data Analytics Manager
  • 2. Machine Learning Operations Lead
  • 3. Engineering Program Manager
  • 4. Business Intelligence Director

What You'll Learn

  • Integrate machine learning models with engineering management principles for data-driven decisions.
  • Apply data analytics techniques to optimize business operations and financial strategies.
  • Develop leadership skills for managing AI and analytics projects in technical environments.
  • Analyze complex datasets using visualization and predictive modeling tools.

Curriculum Highlights

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.

Top Employers

Top employers include tech firms like Google, Amazon, and Microsoft, as well as engineering consultancies and high-tech industries such as aerospace and manufacturing.

Admissions

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.

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+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.