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
  • Design and analyze complex electrical and electromagnetic systems using advanced mathematical and computational methods
  • Apply signal processing, communications theory, and control systems principles to real-world engineering problems
  • Develop proficiency in hardware and software systems design, including microelectronics and computer architecture
  • Conduct independent research and synthesize knowledge across ECE subdisciplines including bioengineering, power systems, and quantum electronics
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Electrical & Computer Engineering (ECE) is a graduate degree focused on advanced topics in electrical systems, signal processing, communications, computer architecture, and electromagnetic phenomena, typically completed in two years.[1][2
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%
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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