Duke University offers a Robotics & Automation Undergraduate Certificate designed for engineering students who want interdisciplinary training in robotics, artificial intelligence, controls and autonomous systems.

The certificate is offered through Duke’s Thomas Lord Department of Mechanical Engineering & Materials Science and brings together concepts from:

Mechanical Engineering

Electrical Engineering

Biomedical Engineering

and

Computer Science.

Students complete seven courses covering robotics, machine learning, controls, ethics and related technical fields.

The program also includes hands-on experience through Duke’s Robot Studio, where students combine kinematics, industrial design, manufacturing, electronics and programming to build a robot from the ground up.

For students considering graduate study or careers in robotics, autonomous systems, machine learning and intelligent machines, the certificate provides a structured way to add robotics specialization to an existing Duke engineering degree.

Duke Robotics and Automation Certificate 2026 Overview

Category	Details
University	Duke University
School	Pratt School of Engineering
Department	Thomas Lord Department of Mechanical Engineering & Materials Science
Program	Robotics & Automation Undergraduate Certificate
Level	Undergraduate
Number of courses	7
Eligible students	Duke undergraduate engineering students
Core areas	Robotics, Machine Learning, Controls, Dynamics, Ethics
Hands-on component	Robot Studio
Technical electives	Computer Vision, Medical Robotics, Image Processing and more
Transcript recognition	Certificate noted on Duke transcript
Graduate preparation	Yes
Location	Durham, North Carolina, USA
Delivery	Duke University coursework

What Is Duke’s Robotics and Automation Certificate?

Duke’s Robotics & Automation Undergraduate Certificate is an interdisciplinary academic program focused on preparing students to understand and develop intelligent machines.

Robotics sits at the intersection of several disciplines.

A modern robot may require:

Mechanical design

Electronics

Programming

Artificial intelligence

Control systems

and

Machine learning.

Duke’s certificate is structured around this interdisciplinary approach.

Who Can Take the Duke Robotics Certificate?

This is an important eligibility point.

The Robotics & Automation Undergraduate Certificate is designed for:

Duke University undergraduate students.

Duke’s undergraduate academic information further identifies Robotics & Automation as a certificate available to students pursuing an:

Engineering degree through the Pratt School of Engineering.

This means the certificate should not be interpreted as a standalone online course or an external professional certificate that anyone can simply enroll in independently.

Prospective students who are not currently at Duke would generally need to pursue admission to an eligible Duke undergraduate engineering program first.

Is This an Online Robotics Certificate?

The official program information presents this as a Duke undergraduate academic certificate completed alongside a student’s degree.

It should therefore not be confused with:

A short online certificate

A standalone professional training course.

Students complete Duke University courses as part of the program.

Why Study Robotics at Duke?

Duke describes robotics as a rapidly expanding field positioned at the crossroads of:

Mechanical Engineering

Electrical Engineering

Biomedical Engineering

and

Computer Science.

The university’s broader vision involves developing autonomous machines capable of:

Operating in dangerous environments

Increasing human awareness

and

Taking over repetitive tasks.

The goal is ultimately to develop technologies that expand human capabilities.

Program Features and Benefits

Duke highlights several features of the certificate.

These include:

Senior-level coursework

Multidisciplinary course options

Flexible subject exploration

Recognition on the Duke transcript

and

Preparation for graduate study at Duke.

Seven-Course Requirement

Students must complete:

Seven courses

to earn the certificate.

The curriculum is organized across several areas.

1. Robotics Centerpiece Courses

Students complete two centerpiece robotics courses.

These are:

ECE 383 / ME 442 — Introduction to Robotics

and

ME 555 — Robot Studio.

These courses form the technical foundation of the program.

Introduction to Robotics

Introduction to Robotics gives students foundational knowledge required to understand how robotic systems:

Move

Sense

Plan

and

Interact with their environments.

It provides an important starting point before students move into advanced robotics topics.

Robot Studio

One of the most distinctive components of the certificate is:

ME 555 Robot Studio.

The course is designed around hands-on robot development.

Students build from:

Body to brain.

This involves combining:

Kinematics

Industrial Design

Manufacturing

Electronics

and

Programming.

Students ultimately build a functioning robot.

Why Hands-On Robotics Matters

Robotics is difficult to master through theory alone.

A student may understand:

Algorithms

Control equations

without understanding the practical problems involved in getting an actual robot to operate reliably.

Hands-on courses expose learners to:

Hardware limitations
Sensors
Programming problems
Mechanical design
Testing
Integration

This type of practical experience can be valuable when preparing for engineering careers.

2. Ethics Requirement

Students must also complete:

ME 555 Ethics of Case Studies in Robotics & Automation.

This component recognizes that robotics involves more than simply building technically capable machines.

Students must also consider questions surrounding:

Safety

Responsibility

Human impact

and

Ethical deployment.

Why Robotics Ethics Matters

As robots become increasingly autonomous, engineers may face questions such as:

Who is responsible when autonomous systems fail?

How should robots make safety-critical decisions?

How should personal data collected by intelligent machines be protected?

Ethics training therefore complements technical robotics education.

3. Controls and Dynamics

Students select a course from the Controls & Dynamics area.

Options currently listed by Duke include:

ME 344L / ECE 382L — Linear Control Systems

EGR 244 — Dynamics

PHYSICS 361 — Intermediate Mechanics

and

ME 555 — Model Predictive Control.

What Are Control Systems?

Control systems determine how machines respond to commands and changing environments.

They are essential for:

Robotic arms

Drones

Autonomous vehicles

Industrial robots

and

Mobile robots.

Dynamics

Dynamics focuses on how forces produce movement.

Understanding dynamics helps engineers predict how robotic systems will behave physically.

Model Predictive Control

Model Predictive Control uses mathematical models to predict future system behavior and determine optimal actions.

It is widely relevant to:

Autonomous systems

Robotics

and

Advanced industrial control.

4. Machine Learning Requirement

Students also choose a course from Duke’s Machine Learning track.

Current options include:

ME 555 — Data Driven Dynamical Systems and Control

ME 555 — Robot Learning

ECE 580 — Introduction to Machine Learning

BME 548L — Machine Learning and Imaging

and

CS 371 — Elements of Machine Learning.

Machine Learning and Robotics

Machine learning allows robots to improve their ability to:

Recognize

Predict

Adapt

and

Make decisions.

Instead of relying entirely on manually programmed rules, machines can learn patterns from data.

Robot Learning

Robot Learning is particularly relevant to students interested in intelligent autonomous systems.

Duke notes that undergraduate students taking Robot Learning must have completed an undergraduate:

Introduction to Robotics

course as a prerequisite.

Data-Driven Dynamical Systems

This course connects:

Data

with

Control and physical systems.

Students can learn how observed information can be used to understand and control complex systems.

Introduction to Machine Learning

ECE 580 introduces students to core machine-learning methods.

These skills can support careers in:

Artificial Intelligence

Robotics

Data Science

and

Autonomous Systems.

Machine Learning and Imaging

BME 548L connects:

Machine Learning

with

Imaging.

This can be especially relevant for students interested in:

Medical imaging

Computer vision

and

Biomedical robotics.

5. Technical Elective

Students select a technical elective related to robotics.

Duke currently lists options including:

Introduction to Medical Robotics and Surgical Technologies

Computer Vision

Ocean Engineering

Rainforest Engineering

Image and Video Processing

and

Robotics-related Independent Projects.

Medical Robotics

Medical robotics combines:

Engineering

Healthcare

and

Robotics.

Potential applications include:

Surgical robots

Assistive technologies

and

Medical devices.

Computer Vision

Duke lists:

CS 527 Computer Vision

as a technical elective.

Computer vision allows machines to interpret visual information from:

Images

and

Video.

It is important for:

Autonomous cars

Drones

Robots

and

Medical systems.

Image and Video Processing

Another available elective focuses on:

Image and Video Processing.

These skills can be used across fields ranging from:

Space exploration

Healthcare.

Independent Robotics Projects

Students may also complete an approved:

Robotics-related independent project.

This option requires:

A detailed semester plan

and

Prior approval.

Independent projects can give students an opportunity to investigate a specialized robotics problem in greater depth.

Additional Technical Course Flexibility

Duke notes that two technical courses may also count as required courses within a student’s home department.

Other robotics-related courses may potentially be approved by the:

Robotics and Automation Certificate Program Coordinator.

This creates flexibility for students whose academic interests do not perfectly fit the predefined electives.

6. Humanities and Social Sciences

The certificate is not entirely technical.

Students must also complete an approved:

Humanities or Social Sciences course.

Potential areas include:

History

Public Policy

and

Economics

when relevant to technology and society.

Example Humanities and Social Science Courses

Examples provided by Duke include courses dealing with areas such as:

Race, Gender, Class and Computing

Digital Feminism

Science and the Modern World

Globalization and Corporate Citizenship

Science Law and Policy

Sustainable Design

and

Ethical Technology.

Why Humanities Are Included

Robots increasingly influence:

Work

Healthcare

Security

Transportation

and

Society.

Engineers therefore need to understand not only how intelligent machines function but also how they affect people.

Multidisciplinary Robotics Education

One of the strongest characteristics of the Duke certificate is its multidisciplinary design.

Students can combine knowledge from:

Mechanical Engineering

Electrical Engineering

Computer Science

Biomedical Engineering

Physics

and

Public Policy.

This reflects how robotics works in the real world.

A robotic system rarely belongs to only one engineering discipline.

Artificial Intelligence in the Duke Robotics Program

Machine learning is built directly into the curriculum.

Students can study areas including:

Robot Learning

Machine Learning

Data-Driven Systems

and

Machine Learning and Imaging.

This helps bridge traditional robotics with modern artificial intelligence.

Robotics and Autonomous Systems

Modern robotics increasingly focuses on machines capable of operating with limited direct human control.

These systems may need to:

Sense their environment

Interpret data

Plan actions

and

Respond to uncertainty.

Duke’s certificate addresses several of these capabilities through robotics, controls and machine-learning coursework.

Career Paths After Robotics Training

Robotics knowledge can support careers such as:

Robotics Engineer

Automation Engineer

Machine Learning Engineer

Computer Vision Engineer

Controls Engineer

Autonomous Systems Engineer

Robotics Software Engineer

and

Research Engineer.

Career requirements vary according to employer and position.

Robotics Engineer

Robotics Engineers combine knowledge of:

Hardware

Software

Mechanical systems

and

Controls.

They may design or improve intelligent machines.

Automation Engineer

Automation Engineers develop systems that perform tasks with reduced human intervention.

Industries can include:

Manufacturing

Logistics

Energy

and

Transportation.

Machine Learning Engineer

Machine Learning Engineers develop systems capable of learning from data.

Within robotics, this can involve:

Perception

Prediction

and

Decision-making.

Computer Vision Engineer

Computer Vision Engineers build systems that help machines understand:

Images

and

Video.

Applications can include:

Robotics

Medical technology

Autonomous vehicles

and

Manufacturing.

Controls Engineer

Controls Engineers focus on ensuring machines behave:

Predictably

and

Safely.

They may work with:

Robots
Aircraft
Industrial systems
Autonomous vehicles

Autonomous Systems Engineer

Autonomous Systems Engineers work on machines capable of performing tasks without constant human control.

Examples include:

Drones

Self-driving vehicles

Autonomous underwater vehicles

and

Mobile robots.

Medical Robotics Careers

Students interested in healthcare technology may use electives such as:

Medical Robotics and Surgical Technologies

to explore this specialization.

Potential career areas include:

Medical devices

Surgical robotics

and

Biomedical engineering.

Graduate School Preparation

Duke specifically identifies:

Preparation for graduate study at Duke

as one of the benefits of the undergraduate certificate.

Students interested in advanced robotics research can use undergraduate coursework to develop foundations for:

Master’s

PhD

study.

Duke Graduate Robotics Pathways

Duke also offers graduate-level robotics opportunities.

For eligible graduate students, these include the:

Robotics & Autonomy Graduate Certificate.

Duke separately offers a:

Graduate Certificate in Medical Robotics.

These should not be confused with the undergraduate Robotics & Automation Certificate.

Duke Robotics Club

Students interested in robotics can also participate in:

Duke Robotics Club.

The club provides opportunities to gain practical engineering experience outside formal coursework.

Duke Robotics participates in:

RoboSub

where student teams build autonomous underwater vehicles.

Research Opportunities

Duke Robotics also says individual faculty members frequently work with undergraduate students on research projects.

Interested students may contact faculty members working in relevant robotics areas.

Research can be particularly valuable for students considering:

Graduate school

Research careers

Technology entrepreneurship.

Skills Students Can Develop

Through the certificate, students can potentially strengthen knowledge in:

Programming

Machine Learning

Robot Design

Control Systems

Computer Vision

Electronics

Manufacturing

and

Engineering Ethics.

Programming Skills

Robot Studio integrates programming with hardware.

Students learn how software controls physical machines.

Programming knowledge is therefore an important robotics skill.

Mechanical Design

Robotics students also need to understand how physical components:

Move

Connect

and

Respond to forces.

Electronics

Robots rely on:

Sensors

Motors

Controllers

and

Electrical systems.

Integrating these components is an important practical skill.

Kinematics

Kinematics studies the motion of mechanical systems without necessarily focusing on the forces producing that motion.

It is particularly important for:

Robotic arms

and

Manipulation systems.

Industrial Design

Robot Studio also introduces students to:

Industrial Design.

This helps engineers think about how machines should be designed for practical human use.

Manufacturing

Students also gain exposure to manufacturing considerations.

Building a robot requires turning a conceptual design into:

Physical components

and

Working systems.

Who Should Consider the Certificate?

The certificate may be particularly relevant to Duke engineering students interested in:

Robotics

Machine Learning

Autonomous Vehicles

Drones

Medical Robotics

Computer Vision

Automation.

Is the Duke Robotics Certificate for International Students?

International students who are already eligible Duke undergraduate engineering students can potentially pursue the certificate according to Duke’s academic requirements.

However, this is not a separate international admissions route.

Prospective international applicants would first need to qualify for admission to Duke University and the appropriate undergraduate engineering program.

Is the Certificate Free?

The certificate is part of Duke’s undergraduate academic offerings.

The official program page does not present it as a separate free online course.

Students should rely on Duke’s current tuition and academic policies for the cost of their overall degree program.

Does the Certificate Have a Separate Tuition Fee?

The source reviewed does not establish a separate undergraduate certificate fee.

Prospective students should confirm current policies directly with Duke before making financial assumptions.

Is Financial Aid Available?

The specific certificate page does not establish a separate scholarship or financial-aid program for Robotics & Automation.

Students interested in funding should review Duke’s undergraduate financial-aid resources separately.

Is There a Separate Application Deadline?

The program page does not provide a universal external application deadline for the certificate.

Because this is an undergraduate Duke academic certificate rather than a standalone admission program, students should follow Duke’s academic procedures and consult the certificate coordinator regarding participation.

Certificate Coordinators

Duke lists:

Siobhan Rigby Oca

Director of Master’s Studies and Assistant Professor of the Practice

and

Xianyi Cheng

Assistant Professor in Mechanical Engineering and Materials Science

as certificate coordinators.

Students with questions about course approval or program requirements can consult the department.

Frequently Asked Questions

Does Duke University offer a robotics certificate?

Yes.

Duke offers a:

Robotics & Automation Undergraduate Certificate.

How many courses are required?

Students complete:

Seven courses.

Who can take the undergraduate robotics certificate?

Duke Robotics says it is open to Duke undergraduate students, while Duke’s undergraduate academic listings specify Robotics & Automation for students pursuing engineering degrees through the Pratt School of Engineering.

Can anyone apply directly for this certificate online?

It should not be treated as a standalone open-enrollment online certificate.

It is an undergraduate academic program completed within Duke.

Does the program include machine learning?

Yes.

Machine learning is one of the required curriculum areas.

Does the program include artificial intelligence?

AI concepts appear throughout robotics and machine-learning coursework.

Is there hands-on robotics training?

Yes.

Robot Studio

provides a major hands-on component.

Do students actually build robots?

The Robot Studio description says students combine mechanical, electronic and programming elements into a robot they build from scratch.

Does Duke teach computer vision?

Computer Vision is among the listed technical elective options.

Does Duke offer medical robotics courses?

Yes.

Medical Robotics and Surgical Technologies is listed among technical electives.

Does the program teach controls?

Yes.

Students must complete a Controls & Dynamics course.

Does the certificate include ethics?

Yes.

Students complete:

Ethics of Case Studies in Robotics & Automation.

Is the certificate shown on the Duke transcript?

Yes.

Duke identifies transcript recognition as one of the program benefits.

Can the program help with graduate school preparation?

Yes.

Duke specifically identifies graduate-study preparation as a program benefit.

Does Duke have a Robotics Club?

Yes.

Students can participate in Duke Robotics Club for additional hands-on experience.

Does Duke offer graduate robotics certificates?

Yes.

Duke also has separate graduate-level certificates in robotics-related areas.

Opportunities Feed Assessment

The Duke Robotics & Automation Undergraduate Certificate stands out because it combines several disciplines that increasingly define modern robotics careers.

Rather than teaching robotics simply as mechanical automation, the curriculum incorporates:

Robotics + Machine Learning + Controls + Computer Vision + Ethics + Hands-On Engineering.

The strongest component for students seeking practical experience may be:

Robot Studio.

Students do not simply study robot theory.

They combine:

Kinematics + Industrial Design + Manufacturing + Electronics + Programming

to create a physical robotic system.

The machine-learning requirement also strengthens the certificate’s relevance to modern intelligent systems.

Students can choose coursework involving:

Robot Learning

Machine Learning

Data-Driven Systems

Machine Learning and Imaging.

The program is also flexible enough to accommodate specialized interests through electives such as:

Medical Robotics

Computer Vision

Ocean Engineering

and

Independent Robotics Projects.

However, prospective readers should understand one important limitation:

This is not a standalone certificate that outside applicants can simply enroll in independently.

It is an academic certificate designed for eligible Duke undergraduate engineering students.

For prospective students who want this pathway, the broader route is therefore:

Apply to Duke → Pursue an eligible Pratt engineering degree → Meet the robotics certificate requirements → Complete seven approved courses → Earn transcript recognition.

For Duke engineering students interested in robotics, autonomous systems, machine learning and intelligent machines, the certificate provides a strong interdisciplinary route for building technical depth while preparing for advanced study or technology careers.

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