NC

Master's in AI
On-Campus

Duke University

Master of Engineering in Autonomous, Intelligent Systems and Machines

  • Durham
About This Program

This degree provides deep technical training in the disciplines defining modern robotics, including mechanical design, machine learning, and controls, integrated with leadership and ethics training.

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What You'll Learn

Students master the principles of kinematics, sensing, and system integration while developing the ability to lead high-tech organizations and navigate the ethical implications of autonomous technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program includes a robotics core, departmental requirements in machine learning and controls, business preparatory courses, and a hands-on capstone project involving real-world robotics problems.
Typical Course Topics
1. Autonomous Systems Design and Control 2. Machine Learning for Robotics 3. Sensor Fusion and Perception 4. Path Planning and Navigation 5. Human-Robot Interaction 6. Real-Time Systems and Embedded Control
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Bachelor's degree in engineering or related technical field required. Strong background in mathematics, physics, and programming preferred. GRE scores recommended for international applicants and domestic students with GPA below 3.0.
Academic Requirements (Typical)

• Degree Required: Master of Engineering (MEng)
• GRE/GMAT: Recommended (may be required depending on academic profile)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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 Robotics Engineer in Autonomous Vehicles with machine learning expertise

Estimated Industry Salary
Robotics Engineer: $95,000 Autonomous Systems Engineer: $110,000 AI/Machine Learning Engineer: $120,000 Controls Engineer: $92,000
Total compensation (entry to mid-level)
AI Job Growth
8.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Autonomous Systems Engineer 2. Robotics Software Engineer 3. Control Systems Designer 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Common employers include Boston Dynamics, Tesla, Waymo, NASA, defense contractors like Lockheed Martin and Raytheon, and major tech companies like Google and Amazon Robotics.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 34,310
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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