NC

Master's in ML
On-Campus

Duke University

MS in ECE – Data Analytics & Machine Learning

  • Durham
About This Program

This Master of Science program offers rigorous technical depth in computer engineering, focusing on the mathematical foundations of machine learning and the design of AI-driven systems.

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What You'll Learn

Students immerse themselves in statistical modeling, neural networks, and advanced ECE coursework, preparing for research and development careers in industry or for further academic advancement.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The track-based structure allows for deep specialization in machine learning and AI, complemented by research seminars and the option to complete a faculty-supervised thesis.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Data Mining and Analytics 4. Digital Signal Processing for ML 5. Optimization for Machine Learning 6. AI and Computer Vision
Program Specializations:
MLOps/AI Engineering
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 field with a minimum GPA of 3.0 is required, along with coursework in linear algebra, probability, and programming.
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: 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

Advance as Machine Learning Engineer in Cross-Industry 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
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 Scientist 3. AI Systems Engineer 4. Computer Vision Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, NVIDIA, and engineering firms such as Intel and Qualcomm.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 117,900
Format
On-Campus
Specializations
MLOps/AI Engineering
Machine Learning
Official Resources
Program Website
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