NC

Master's in AI
On-Campus

Duke University

MS in Mechanical Engineering (MEMS) AI Track

  • Durham
About This Program

This Master of Science program integrates mechanical engineering principles with specialized training in artificial intelligence, focusing on advanced research and the application of data-driven methods.

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What You'll Learn

Students learn to apply machine learning and computational modeling to engineering challenges, such as materials discovery and autonomous systems, while gaining technical depth in their chosen concentration.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes a cornerstone experience, advanced departmental coursework in mechanical engineering and materials science, and a research project or thesis supervised by world-class faculty.
Typical Course Topics
1. Microelectromechanical Systems (MEMS) Design and Fabrication 2. Machine Learning for Engineering Applications 3. Robotic Manipulation and Control Systems 4. Finite Element Analysis and Computational Simulation 5. Sensor Design and Signal Processing 6. Reinforcement Learning and Autonomous Systems
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field, with a minimum GPA of 3.0. Relevant coursework in physics, mathematics, and engineering fundamentals is typically required; professional experience in robotics, controls, or AI is preferred but not mandatory.
Academic Requirements (Typical)

• Degree Required: MS (Master of Science)
• GRE: 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.

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Career Opportunities in AI

Advance as AI Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Mechanical Engineer (MEMS/Robotics): $92,000 AI/Machine Learning Engineer: $120,000 Robotics Engineer: $98,000 Manufacturing Engineer (Advanced): $88,000
Total compensation (entry to mid-level)
AI Job Growth
8.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. AI/ML Systems Engineer 3. MEMS Device Designer 4. Autonomous Systems Engineer
Top AI Employers (Industry-Wide):
Top employers include Duke University research labs, Boston Dynamics, Tesla, NASA Jet Propulsion Laboratory, and major defense contractors like Lockheed Martin and Northrop Grumman.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 67,724
Format
On-Campus
Specializations
Official Resources
Program Website
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