NC

Master's in AI
On-Campus, Online, Hybrid

Duke University | MS in Autonomous, Intelligent Systems and Machines

  • Durham
About This Program

This research-oriented Master of Science focuses on the theoretical foundations of robotics and intelligent systems, preparing students for advanced technical roles or doctoral studies in the field.

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What You'll Learn

  • Students gain advanced knowledge in machine learning, vision, and control systems while developing research skills through independent study and engagement with faculty-led research laboratories.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Autonomous, Intelligent Systems and Machines is a 1-2 year graduate program focused on AI, robotics, machine learning, and autonomous systems design for real-world applications.
Typical Course Topics
1. Autonomous Robotics 2. Machine Learning for Intelligent Systems 3. Deep Learning and Neural Networks 4. Reinforcement Learning 5. Robot Perception and Sensing 6. AI Systems Integration and Control
Program Specializations:
AI Ethics/Policy
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, electrical engineering, mathematics, or a related field is required, along with a minimum GPA of 3.0 and programming experience in languages like Python. GRE scores are often optional, with strong emphasis on relevant coursework in AI, probability, and statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI/Robotics Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. AI Systems Architect 3. Autonomous Vehicle Specialist 4. Machine Learning Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Tesla, Boston Dynamics, and NVIDIA, along with aerospace firms and research labs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 33,862
Format
On-Campus, Online, Hybrid
Specializations
AI Ethics/Policy
MLOps/AI Engineering
Official Resources
Program Website
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