NC

Master's in ML
On-Campus

Duke University

Master of Engineering in ECE – Data Analytics & Machine Learning

  • Durham
About This Program

This specialization within the Master of Engineering in Electrical and Computer Engineering focuses on the mathematical foundations and practical deployment of AI systems that scale in real-world environments.

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What You'll Learn

Students develop expertise in deep learning, neural networks, and scalable data pipelines, while gaining the business skills needed to manage technical projects and lead engineering teams.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program combines advanced ECE coursework in AI and data analysis with business fundamentals, product development, and a faculty- or industry-mentored applied project.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Data Analytics and Visualization 4. Digital Signal Processing for ML 5. Optimization for Machine Learning 6. AI and ML Capstone Project
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical engineering, computer engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and probability. GRE scores are optional, and professional experience in engineering or data-related roles is preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s in ECE or related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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

Position as Data Scientist in Cross-Industry AI with deep 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
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Analytics Engineer 3. AI Systems Engineer 4. Embedded ML Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, and NVIDIA, as well as engineering firms such as Intel, Qualcomm, and defense contractors like Raytheon.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 102,900
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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