Robotics & Autonomy Graduate Certificate

Demand for Courses in Robotics is Soaring. Duke Heard You.

Duke is a leading center of research and training in robotics and autonomy.

In our interdisciplinary curriculum, Duke students dive deep into the development of intelligent machines.

We blend mechanical, electrical and biomedical engineering with computer science—enhanced by hands-on design experiences and an exploration of ethics.

From Duke, you’ll launch into the world as a roboticist, designing solutions that enhance and extend human abilities.

Eligibility
closeup of robotics lit with purple lights
Siobhan Oca

We have incredibly passionate and motivated students at Duke who want to make positive change in the world. I hope to help them learn how to make these impacts through robotics and autonomous technologies.

 Siobhan Oca, PhD Director of Master’s Studies, Duke MEMS
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a student built-robot shaped like a T. Rex dances at Duke University

Eligibility

All Master of Science, Master of Engineering and PhD students in Duke’s Pratt School of Engineering and Department of Computer Science are eligible to apply.

This graduate program in robotics and autonomy is excellent preparation for industry jobs and leading doctoral programs.

How to Apply

Requirements & Courses

  • Two core robotics courses
  • One course in the Controls & Dynamics Track
  • One elective from any track
  • E-portfolio documenting your experience

Note: There is no universal course prerequisite. Instructors set the prerequisites for enrollment in each course.

  • Required

    • ME 555/ECE 590 Advanced Robotics
    • ME 555 Robot Learning

  • Choose 1

    • ME 541 Intermediate Dynamics
    • ME 627 Linear System Theory
    • ME 555 Model Predictive Control

  • Choose 1

    Machine Learning Track
    • ME 555 Data Driven Dynamical Systems & Control
    • ECE 580 Introduction to Machine Learning
    • ECE 685D Introduction to Deep Learning
    • ECE 590-05 Advanced Topics in Deep Learning
    • COMPSCI 570 Artificial Intelligence
    • COMPSCI 590 Neurosymbolic ML
    • COMPSCI 572 Natural Language Processing
    • COMPSCI 671D Theory & Alg Machine Learning
    • ECE 682D Probabilistic Machine Learning
    • CEE 690/ ME 555 Advanced Topics in CEE Data Sci & ML Appl Sci & Eng
    Other Electives
    • ME 555 Robot Studio
    • COMPSCI 527 Computer Vision
    • ME 555 Ethics of Case Studies in Robotics and Automation
    • ECE 590/ BIOETHIC 676S Ethical Technology Practicum
    • ME 555/ECE 590 Introduction to Robotics
    • ME 555 Medical Robotics and Surgical Technologies
    • ECE 461/ME 555 Ocean Engineering
    • ECE 588 Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

  • Students will document their work on internships, course projects and research in an e-portfolio. The portfolio will be evaluated for how well it demonstrates practical experience in robotics.

    How to build a great e-portfolio

How to Apply

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