MasterOn-CampusFull-Time

Duke University

Master of Engineering in ECE - Data Analytics & Machine Learning

Durham, North Carolina1.5 $103K 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$130,000
Job Growth+23%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's in ECE or related field
Duration
1.5 years
Est. Tuition
$103K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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.

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.

Career Outcomes

Position as Data Scientist in Cross-Industry AI with deep learning expertise

  • 1. Machine Learning Engineer
  • 2. Data Analytics Engineer
  • 3. AI Systems Engineer
  • 4. Embedded ML Specialist

What You'll Learn

  • Design and implement machine learning models for engineering applications
  • Analyze large datasets using data analytics techniques in ECE contexts
  • Apply deep learning to signal processing and embedded systems
  • Develop optimized algorithms for real-time data processing and AI inference

Curriculum Highlights

The program combines advanced ECE coursework in AI and data analysis with business fundamentals, product development, and a faculty- or industry-mentored applied project.

Top Employers

Top employers include tech giants like Google, Amazon, and NVIDIA, as well as engineering firms such as Intel, Qualcomm, and defense contractors like Raytheon.

Admissions

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.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's in ECE or related field
  • 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.