Duke University

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.

Admission Snapshot

Typical admitted student: 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.

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.

Career Outcomes

Advance as AI Engineer in Engineering AI with machine learning expertise

• 1. Robotics Engineer
• 2. AI/ML Systems Engineer
• 3. MEMS Device Designer
• 4. Autonomous Systems Engineer

What You'll Learn

• Design and analyze micro-scale mechanical systems with integrated sensing and actuation capabilities
• Develop and implement machine learning algorithms for autonomous control, motion planning, and predictive modeling
• Apply computational tools (finite element analysis, CFD, simulation software) to optimize electromechanical device performance
• Conduct research integrating AI/ML with hardware systems, from digital twins to real-world robotic deployment

Curriculum Highlights

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.

Top Employers

Top employers include Duke University research labs, Boston Dynamics, Tesla, NASA Jet Propulsion Laboratory, and major defense contractors like Lockheed Martin and Northrop Grumman.

Admissions

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.

Application Materials

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

Academic Requirements

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