Duke University

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.

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.

Career Outcomes

Launch Product Analyst career in Business AI with machine learning focus

• 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

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 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+)