NC

Master's in AI
On-Campus

Duke University

MS in Electrical & Computer Engineering (ECE)

  • Durham
About This Program

This flexible Master of Science degree prioritizes technical depth and research, allowing students to build expertise in areas such as AI-driven systems and next-generation computing platforms.

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What You'll Learn

Students gain advanced knowledge in ECE domains like software engineering and hardware design, with the option to specialize in machine learning and artificial intelligence for research-focused careers.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program features five structured study tracks, including a dedicated AI/ML specialization, and offers an optional thesis grounded in faculty-led research and doctoral-level seminars.
Typical Course Topics
1. Advanced Signal Processing and Digital Communications 2. Electromagnetic Theory and Applications 3. VLSI Design and Microelectronics 4. Control Systems and Robotics 5. Power Systems and Energy Management 6. Computer Architecture and Embedded Systems
Program Specializations:
MLOps/AI Engineering
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically hold a bachelor's degree in electrical engineering, computer engineering, or a related field with a strong foundation in mathematics and physics. A cumulative GPA of 3.0 or higher and relevant coursework in circuits, electromagnetics, and digital systems are generally expected.[2
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: GRE typically required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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.

Check Application Deadlines
Career Opportunities in AI

Lead as Software Developer in Engineering AI with machine learning expertise

Estimated Industry Salary
Electrical & Computer Engineering: $78,000–$95,000 (entry-level to early career)
Total compensation (entry to mid-level)
AI Job Growth
6.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Hardware Engineer 2. Signal Processing Engineer 3. Embedded Systems Engineer 4. Controls and Robotics Engineer
Top AI Employers (Industry-Wide):
Top employers in electrical and computer engineering include Intel, Texas Instruments, Qualcomm, Boeing, Lockheed Martin, and major tech companies like Google and Microsoft.[3
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 67,724
Format
On-Campus
Specializations
MLOps/AI Engineering
Machine Learning
Official Resources
Program Website
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