Graduate Certificate in Medical Robotics

Design Robots That Make Lives Better

Today, surgeons leverage the capabilities of robotics to extend their already-amazing abilities beyond the limits of what the human hand and eye can do.

Tomorrow, surgeons will rely even more on precision robots to provide even better surgical results with fewer complications and less pain—all leading to greater well-being for patients.

Shape this future by enhancing your Duke master’s or PhD with the graduate Certificate in Medical Robotics.

In addition to completing four high-impact courses, you’ll join a special community — the uncommonly collaborative engineering and medical research neighborhood clustered just meters apart along Duke’s Research Drive.

How to apply
Two students train on the DaVinci robotic surgery device
Duke TAST logo

This certificate program is a curricular partner of the Duke-led NSF Traineeship for the Advancement of Surgical Technologies. More about TAST »

Duke’s Graduate Certificate in Medical Robotics represents a new model at the interface of medicine and engineering — one that gets roboticists into the operating rooms of a world-class academic medical center.

 Brian P. Mann, PhD Program Director

Make a positive impact

An ideal program for those looking to make a difference. Make your impact as a designer of medical robotics.

Mentorship from expert faculty

Duke surgeons are renowned for their skill and expertise. Duke engineers are globally known for research leadership in AI, robotics and medical device design

Courses that stretch your abilities

Complete two rigorous core robotics courses, a course in machine learning and an elective

Certificate Requirements

  • Required:

    • ME 555 Introduction to Medical Robotics and Surgical Technologies, fall term only
    • ME 555 Medical Robotics and Surgical Technologies Team Project, spring term only

  • Select one:

    • COMPSCI 590-07 Applied Natural Language Processing
    • COMPSCI 571D/ECE 682D/STA561 D Probabilistic Machine Learning
    • ECE 590-03 Machine Learning in Adversarial Settings
    • ECE 590-06 Case Studies in Machine Learning Applications
    • COMPSCI 671 D/ECE 590D Machine Learning
    • COMPSCI 570/ECE 590D Artificial Intelligence
    • ECE 590-002 Introduction to Deep Learning
    • BME 590 -006 Machine Learning in Imaging
    • EGRMGMT 599 Machine Learning Principles and Applications
    • ME555 Data Drive Dynamics and Control

  • Choose one:

    • ECE 590-26/ ME 555-28 Robotic Systems Design
    • ECE 590-25/ME 555-27 Autonomous Systems Engineering
    • ME555-28 Robotic Systems Design
    • ME 555-06 Introduction to Robotics
    • ME-555-04: Engineering Technology in Urology Applications
    • CS 527 Computer Vision
    • BME 590-001 Design Medical/Assistive Devices
    • BME 590-05 Biotech Design
    • BME 547 Medical Software Design
    • ECE 590-07 Human Centered Computing
    • I&E 721-01 Design in Healthcare
    • Surg Star Duke Surgical Technique and Review (STAR)
    • ME555-0? Lasers in Medicine
    • BIOETHIC 602S Law, Research & Bioethics
    • BIOETHIC 605S Contemporary Issues in Bioethics & Science Policy
    • BIOETHIC 704/LAW 333 Science, Law, & Policy
    • BIOETHIC603S Clinical Bioethics & Health Policy
    • BIOETHIC 605S Contemporary Issues in Bioethics & Science Policy
    • BIOETHICS680S Ethical Foundations of Innovative Technology Policy
    • BIOETHIC 704 Frontier Robotics
    • I&E Intellectual Property Law: Law, Policy and Practice
    • BME 590 Biomedical Device Innovation
    • I&E 590 01 Special Topics I&E Global Health Practicum
    • EGRMGMT 520 Intellectual Property Business Law and Entrepreneurship
    • EGRMGMT 590 Intellectual Asset Management

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Open students in these graduate programs at Duke University: Mechanical Engineering & Materials Science, Civil & Environmental Engineering, Electrical & Computer Science, Computer Science, Data Science, Mathematics, Statistics, Science & Society.

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