online phd robotics

Institute for Robotics and Intelligent Machines

Ph.D. Program

Ph.d. program in robotics.

Offered jointly by the College of Computing and the College of Engineering, the Ph.D. program in Robotics is the first truly multidisciplinary robotics degree of its kind in the world—and only the second robotics doctorate offered in the U.S. The program involves the schools of Interactive Computing, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering and Aerospace Engineering.

We educate a new generation of robotics researchers who are prepared to be impactful contributors upon entering the high-tech workforce. The Institute for Robotics & Intelligent Machines (IRIM) serves as the flagship for Tech’s robotics efforts; therefore, IRIM has an integral relationship with the program, and many IRIM faculty members serve as research advisors to students pursuing the degree. The Robotics program supports Tech’s mission to provide instruction in disciplines related to science, technology, and interdisciplinary areas.

Program of Study

The main emphasis of the Ph.D. program is the successful completion of an original and independent research thesis. The degree requirements are designed around this goal.

Minimum Requirements

• Completion of 36 semester hours of courses with a letter grade
• Passing a comprehensive qualifying exam with written and oral components.
• Successfully conducting, documenting, and defending a piece of original research culminating in a doctoral thesis.

PLEASE NOTE

Home Unit Teaching Apprenticeship and Extra-curricular Requirements Robotics Ph.D. students are subject to their home unit's teaching apprenticeship requirements (e.g., a certain number of semesters serving as a TA) and other the extra-curricular requirements such as seminar attendance or annual review process. For example, students with home units in BME, IC, and ME are required to do two semesters of teaching practicum or apprenticeship and register for the corresponding courses. Students should contact their home units for details for any departmental requirements that are in addition to the Robotics degree requirements. Students are responsible for ensuring that they understand and satisfy any home unit requirements as well as the Robotics program and Institute requirements.

*A maximum of two classes (6 semester hours) at the 4000 level may be used to satisfy the minor requirements only. No courses used to satisfy any bachelor's degree requirements can be used towards a graduate degree.

DOWNLOAD THE ROBOTICS Ph.D. HANDBOOK HERE

Program director dr. nader sadegh, faculty coordinators .

For questions about academic and research components of the program, contact the faculty member for your area. All questions about application procedures and processes, as well as additional contact information, may be found on the schools’ websites.

• Mechanics: Frank Hammond , ME/BME
• Control: Patricio Vela , ECE
• Perception : Jim Rehg , IC
• HRI: Karen Feigh , AE 

The RoboGrads site offers a lot of useful information!

Robotics and autonomous systems (mechatronics and automation), PhD

Master the knowledge, skills and abilities to successfully meet the most difficult challenges of modern robotics and autonomous systems on a global scale.

Program description

The mechatronics and automation concentration of the PhD program in robotics and autonomous systems provides an opportunity for in-depth independent research in a highly focused problem domain approved by the student’s advisory committee.

The robotics and autonomous systems (mechatronics and automation), PhD is intended primarily for those desiring to develop expertise in a particular and focused problem in the field of robotics and autonomous systems, including both traditional and advanced robotics and autonomous systems technologies, systems integration and data fusion techniques, and modeling and simulation development.

Graduates will become trained researchers and scientists who will be able to perform analysis, evaluation and synthesis for a broad range of problems related to the design, implementation and efficient operation of robotics and autonomous systems.

Career outlook

Graduates with a doctorate in robotics and autonomous systems typically seek research-oriented academic appointments or industrial research and development positions.

These professionals have substantial opportunities at all levels in manufacturing engineering in research and development at companies, research institutes and national laboratories (e.g., Department of Defense, Department of Energy, National Aeronautics and Space Administration). Relevant careers and related titles include the following:

• electronics engineer
• industrial engineers
• manufacturing engineers
• mechanical engineers
• mechatronics engineers
• robotics engineer

Admission requirements and application process

Admission requirements.

The applicant must have a master’s degree in a relevant field with a GPA of 3.00 or higher. Relevant fields include mechanical engineering, aerospace engineering, computer science, computer engineering, electrical engineering, industrial engineering, automation engineering, manufacturing engineering, automotive engineering, biomedical engineering and human systems engineering.

Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering.

Applicants are eligible to apply to the program if they have earned a bachelor’s or master’s degree in robotics and autonomous systems or a related field from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in the last 60 hours of their first bachelor’s degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program.

All applicants are required to submit:

• graduate admissions application and application fee
• official transcripts for undergraduate and graduate degrees
• personal statement
• professional resume
• two letters of recommendation
• proof of English proficiency

An applicant whose native language is not English must provide proof of  English proficiency  regardless of their current residency.

Applicants need to submit a copy of their unofficial transcripts as part of the online admission application submission. After admission, official transcripts are required to be submitted to the Graduate Admission Services office.

Application process

The admission process begins by applying for graduate admission . The application requires that following items must be submitted:

• Two (2) Letters of Recommendation
• Statement of Purpose: Submit online a 300- to 500-word statement of purpose describing your motivation and rationale for obtaining a PhD in the robotics and autonomous systems program at Arizona State University and how it relates to your long-term career goals.
• Official transcripts from each college or university attended.
• Graduate admission application and application fee
• International applicants must also meet the  English proficiency requirements , as defined by Graduate Admissions. Please be sure to review the  TOEFL, IELTS, or PTE score requirements , as your application will not be processed without valid proof of English proficiency.

Graduate faculty and funding opportunities

More information.

ASU degree page

Schedule an advising appointment

Degree requirements

A minimum of 84 semester credit hours are required for the PhD degree, distributed as follows:

• 12 credit hours of core courses from approved list
• EGR 546 Robotic Systems II (3)
• EGR 550 Mechatronic Systems (3)
• EGR 545 Robotic Systems I (3)
• EGR 602 Principles of Independent Research (3)
• 12 credit hours, at minimum, of RAS 792 Research
• 12 credit hours of RAS 799, Dissertation
• 36 credit hours, Electives or Research (up to 30 credits from previous completed master’s degree in engineering)

A program handbook with more specifics will be available in January 2024.

Application deadlines

August 15  Spring semester (January) January 15  Fall semester (August)

These are priority deadlines. Applications submitted after this deadline may still be considered.

Course requirements

All students enrolled in the PhD in Robotics and Autonomous Systems with a concentration in Mechatronics and Automation must complete the required courses. Additional curriculum details will be listed in the program handbook, which will be available in Spring 2024.

12 credits of core courses within 4 key areas :

• Conceptualization (Modeling/Theoretical Foundations) of RAS
• Intelligence and Control of RAS
• Embodiment (Mechanics/Actuation) of RAS
• Sociotechnical Implications of RAS

All courses must be chosen from the approved course list.

6 credit hours of other requirements

6 credits of concentration coursework

Additional coursework will fall into three categories: Electives, Research, Dissertation.

[email protected]

Graduate student resources

Academic calendar

Academic standards

Graduate College Policies

Resources and Forms

Your Complete Guide to Pursuing a PhD in Robotics: Scope, Schools & Careers

Embarking on a PhD in robotics positions you at the intersection of technology and innovation, opening pathways to academia, private sector research, and cutting-edge industry applications. In this straightforward guide, delve into the essential aspects of a Robotics PhD—including the scope, exemplary schools, and the promising careers it can lead to, ensuring you make an informed decision about your academic future.

Key Takeaways

A PhD in Robotics is an interdisciplinary program that blends computer science, engineering, and other related fields, focusing on cutting-edge research in areas such as machine learning, human-robot interaction, and autonomous systems, which prepares graduates for diverse careers in academia, research, or the private sector.

Top universities offering esteemed PhD programs in Robotics include Carnegie Mellon University, Massachusetts Institute of Technology, and Stanford University, known for their outstanding faculty, comprehensive curricula, and innovative research opportunities.

The application process for a PhD in Robotics typically requires a bachelor’s or master’s degree in a related field, standardized test scores like the GRE, English proficiency tests for non-native speakers, recommendation letters, a statement of purpose, and in some cases, a resume.

Understanding PhD in Robotics: An Overview

Robotic technologies, now integral to our societies, are shaping a technological revolution. A PhD in Robotics provides the skills necessary to lead in this field. This program is an interdisciplinary blend of:

computer science

electrical and computer engineering

mathematics

mechanical engineering

This interdisciplinary approach, which includes systems engineering, offers students a comprehensive understanding of robotics, preparing them to contribute to a variety of sectors.

A key aspect of a doctoral program in Robotics is the focus on cutting-edge research. Some areas of research in these programs include:

Enhancing machine learning algorithms

Advancing human-robot interaction

Developing autonomous systems

Improving computer vision and perception

Designing and controlling robotic systems

These programs encourage students to push the boundaries of existing knowledge and technology.

The career opportunities post a PhD in Robotics are diverse and exciting. Graduates have the choice to pursue academia, engage in research, or utilize their skills within the private sector. From healthcare to manufacturing and autonomous vehicles, the demand for robotics expertise is growing, offering promising career prospects to Robotics PhD graduates.

Interdisciplinary Nature

The Robotics PhD program epitomizes the interdisciplinary study. It incorporates principles of computer science, engineering, and other related disciplines, creating a holistic view of robotics. This unique blend of disciplines fosters innovation and collaboration, empowering students to explore intricate problems and contribute to the advancement of robotics.

Research Focus

Research forms the backbone of any PhD program, and Robotics is no exception. The program motivates students to investigate various areas such as artificial intelligence, machine learning, and computer vision. The objective is to equip students with the ability to conduct in-depth research, enabling them to solve complex problems and further advance knowledge in the field of robotics.

Career Opportunities

A PhD in Robotics opens a gateway to a plethora of career opportunities. Graduates can pursue:

Academic roles such as researchers and professors

Contribute to research and development in the private sector

Venture into sectors like healthcare and manufacturing.

As digitization proliferates worldwide, the need for robotics expertise escalates, suggesting that a Robotics PhD is a promising career pathway.

Top Universities Offering PhD Programs in Robotics

Several esteemed universities offer a PhD program in Robotics. Some of the notable institutions include Carnegie Mellon University, Massachusetts Institute of Technology (MIT), and Stanford University. These universities, celebrated for their outstanding faculty, broad curriculum, and pioneering research initiatives, are excellent choices for aspiring Robotics PhD students.

Carnegie Mellon University

Carnegie Mellon University’s Robotics Institute offers a renowned PhD program in Robotics. The program is recognized for its:

Interdisciplinary nature

Cutting-edge research initiatives

Faculty composed of eminent individuals

Cooperative opportunities for students

Empowerment of students to promote robotics advancement

Massachusetts Institute of Technology (MIT)

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is distinguished for its Robotics PhD program. The program is recognized for its focus on robotic hardware and algorithms that incorporate sensing, control, perception, and manipulation. The distinguished faculty members guide students through their research journey, fostering innovation and excellence in robotics.

Stanford University

Stanford University’s Artificial Intelligence Laboratory offers a unique Robotics PhD program. The program presents unique research opportunities in areas like humanoid robots, bio-inspired robots, and cooperative robots. Guided by a team of esteemed faculty members, students are encouraged to push the boundaries of robotics research and contribute to its advancement.

Admission Requirements and Application Process

The admission requirements for a Robotics PhD program typically include:

A bachelor’s or master’s degree in a related field

Relevant coursework

Standardized tests like the GRE

TOEFL or IELTS for non-native English speakers

However, it’s important to note that the specific requirements may vary across universities.

The application process for a Robotics PhD program usually involves:

Submitting transcripts

Submitting recommendation letters

Submitting a statement of purpose

Some universities may also require a resume

Every university has unique application procedures and deadlines, thus checking the respective university’s website for precise information is necessary.

Prerequisites

Applicants for a Robotics PhD program usually need:

A strong foundation in mathematics

Proficiency in computer science, including programming and data analysis

Research experience, although not necessarily in the field of robotics, enhances the application.

A solid academic performance, demonstrated through a minimum undergraduate GPA requirement, is also often a prerequisite for students in their second or third year.

GRE Scores and Standardized Tests

GRE scores and other standardized tests are integral to the admission process for Robotics PhD programs. However, these scores are evaluated in conjunction with other elements such as GPA, recommendation letters, and essays.

For non-native English speakers, proof of English proficiency through TOEFL or IELTS scores, which assess verbal skills, may also be required.

Supporting Documents

Supporting documents such as:

Transcripts

Letters of recommendation

A statement of purpose

are crucial components of a Robotics PhD application. These documents provide a comprehensive picture of the applicant’s academic journey, achievements, and research capabilities, aiding the admissions committee in making an informed decision.

Curriculum and Coursework

The curriculum of a Robotics PhD program typically includes:

Core courses that provide a solid foundation in robotics, encompassing mechanics, controls, perception, artificial intelligence, and human-robot interaction

Electives that allow students to specialize in specific areas of robotics

A significant research component that allows students to conduct original research in the field of robotics

This comprehensive curriculum is designed to provide students with a deep understanding of robotics and prepare them for careers in academia, industry, or research.

Elective courses allow students to delve deeper into specific areas of interest, enabling them to specialize in a particular aspect of robotics. The research component, a significant part of the program, permits students to undertake independent study and promote knowledge in the robotics field.

Core Courses

The core courses in a Robotics PhD program cover fundamental topics such as:

Artificial Intelligence

Human-Robot Interaction

These courses provide the students with a comprehensive understanding of the field, equipping them with the necessary skills to engage in advanced research and pursue a master’s degree.

Elective courses in Robotics PhD programs offer the opportunity to focus on specific areas of interest. These courses equip students with specialized knowledge and skills, enabling them to conduct focused research in their chosen area. Some examples of areas of focus in Robotics PhD programs include:

Computer vision

Human-robot interaction

Artificial intelligence

Machine learning

Control systems

Autonomous systems

By taking elective courses in these areas, students can deepen their understanding and expertise in their chosen field of study.

Research Components

The research component of a Robotics PhD program typically involves independent study, laboratory work, and a dissertation. This component allows students to apply the knowledge and skills gained from their coursework to solve complex problems, contributing to the advancement of robotics.

Online and Part-Time Options for Robotics PhD Programs

In addition to traditional full-time programs, many universities offer online and part-time options for Robotics PhD programs. These flexible options provide an opportunity for those who wish to balance their studies with work or other responsibilities.

Online Programs

Some universities, like Capitol Technology University, offer fully online PhD programs in Robotics. These programs provide the flexibility to study from any location, making them ideal for individuals who cannot commit to on-campus studies.

Part-Time Study

Part-time study options for Robotics PhD programs offer the following benefits:

Students can balance their education with work or other responsibilities

The programs retain the rigorous curriculum of their full-time counterparts

The coursework is extended over an extended duration

Funding Opportunities and Financial Aid

Pursuing a PhD in Robotics is a significant financial commitment. However, there are various funding opportunities and financial aid options available to help offset the cost. These include fellowships, grants, and teaching or research assistantships.

Fellowships and grants, providing financial assistance, can help alleviate tuition and research expenses. Teaching and research assistantships, aside from offering financial support, provide worthwhile experience to refine students’ skills and elevate their career possibilities.

Fellowships

Fellowships offer the following benefits to Robotics PhD students:

Financial aid to offset tuition costs and research expenses

Opportunity to engage in independent research

Contribution to the advancement of knowledge in the field of robotics

Grants and Scholarships

Grants and scholarships are another form of financial aid available to Robotics PhD students. These funding options can help cover tuition costs and research expenses, making the pursuit of a PhD more accessible.

Teaching and Research Assistantships

Teaching and research assistantships provide financial support and valuable experience for Robotics PhD students. These assistantships involve assisting in teaching or research activities, providing a practical perspective to the theoretical knowledge gained through coursework. Research advisors play a crucial role in guiding students through these assistantships.

Real-World Applications and Impact of Robotics Research

Robotics research has significant real-world applications, impacting various sectors from healthcare to manufacturing and autonomous vehicles. Robotics advancements carry the potential to transform these sectors, boosting efficiency and productivity.

In healthcare, robotics research has led to the development of surgical robots and assistive devices, improving patient care and treatment outcomes. In manufacturing, robotics has enabled automation and improved efficiency. And in the realm of autonomous vehicles, advancements in AI, machine learning, and computer vision have paved the way for self-driving cars.

In the healthcare sector, Robotics research has led to significant advancements. Surgical robots have enhanced the efficiency and precision of medical procedures. Assistive devices have improved the quality of life for individuals with disabilities. These developments have revolutionized patient care, making healthcare more accessible and effective.

Manufacturing

In the manufacturing industry, robotics research has enabled automation of laborious tasks, leading to increased efficiency and productivity. Robots can handle repetitive and physically strenuous roles, allowing for greater precision and reduced likelihood of human error. These advancements have led to improved quality control and lower production costs.

Autonomous Vehicles

Autonomous vehicles are an exciting application of robotics research. Advances in AI, machine learning, and computer vision have enabled vehicles to navigate autonomously, understanding their environment and making informed decisions.

These developments could transform transportation, rendering it safer and more efficient.

Pursuing a PhD in Robotics offers the opportunity to contribute to a field that is shaping the future. This program equips students with a comprehensive understanding of robotics, preparing them to address complex problems and advance knowledge in this exciting field. With the interdisciplinary nature of the program, the focus on cutting-edge research, and the wide range of career opportunities, a PhD in Robotics is a promising choice for those interested in this dynamic field.

The advancements in robotics are revolutionizing various sectors, from healthcare to manufacturing and autonomous vehicles. As the demand for robotics expertise grows, the opportunities for Robotics PhD graduates are expanding, making it an exciting time to embark on this academic journey. So, are you ready to step into the future and make your mark in the world of robotics?

Frequently Asked Questions

Can you get a phd in robotics.

Yes, you can get a PhD in robotics, and one example of such a program is offered jointly by the College of Computing and the College of Engineering at Georgia Institute of Technology.

How long is a PhD in robotics?

A PhD in robotics typically takes about five to six years to complete. The program includes coursework, a research qualifier, and the submission of a thesis.

What is the starting salary for robotics PhD?

The starting salary for a robotics PhD can range from $83,500 to $127,000 annually in the United States, with some top earners making up to $156,000 annually.

Why PhD in robotics?

A PhD in robotics will provide graduates with a diverse skill set encompassing mathematical thinking and technological proficiency, positioning them for careers in technology design, programming, and equipment maintenance in the field of robotics.

What are the prerequisites for a Robotics PhD program?

To apply for a Robotics PhD program, you’ll need a bachelor’s or master’s degree in a related field, relevant coursework, and a strong background in mathematics and computer science. These are the typical prerequisites for admission.

Robotics Engineering (online) (MERO)

Graduate Degree Program College: Engineering

As one of the fastest-growing fields within technology and engineering, a graduate degree in robotics offers you career opportunities in diverse industries, including aerospace, manufacturing, defense, and even healthcare. The University of Maryland's Master of Engineering and Graduate Certificate in Engineering programs bring together engineering professionals who have a passion for discovering robotics' potential to benefit society. Our programs are run in conjunction with the Maryland Robotics Center (https:// robotics.umd.edu/), an interdisciplinary research center with more than 40 faculty members at the forefront of advances in robotics and over 18 laboratories with state-of-the-art technologies.

Our curriculum is designed to build understanding and expertise in robotics design, modeling, control systems, autonomous robotics, machine learning, computer vision, and human-robot interaction. With a range of technical electives, students pursuing a robotics degree are able to tailor their coursework towards their area of interest in robotics including aerial robotics, artificial intelligence, computer vision and perception, space and planetary robotics, robot kinematics and dynamics, control, networked robotic systems, and medical and rehabilitation robotics.

FINANCIAL ASSISTANCE

Students in this program pay a special tuition rate, which does not differ between residents and non-residents of Maryland. This rate is not fully covered by graduate assistantships, fellowships or the tuition remission. Additional graduate student fees are charged.  Tuition and fees are subject to change.

This program does not provide departmental assistantships or fellowships. Loans, work-study and need-based grants for citizens and permanent residents with demonstrated financial need may submit a Free Application for Federal Student Aid (FAFSA) by appropriate FAFSA deadlines. For more information on this process, visit:  https://fafsa.ed.gov/deadlines.htm .

Visit the MAGE Website for Additional Information:   www.mage.umd.edu

Maryland Applied Graduate Engineering 2105 J.M. Patterson Building 4356 Stadium Drive University of Maryland College Park, MD 20742 Telephone:   301.405.0362 Email:  [email protected]

Website:   www.mage.umd.edu

Courses:  ENME   ENRE

GENERAL REQUIREMENTS

• Statement of Purpose
• Transcript(s)
• TOEFL/IELTS/PTE ( international graduate students )

PROGRAM-SPECIFIC REQUIREMENTS

• Letters of Recommendation (3)
• Graduate Record Examination (GRE) (optional)
• CV/Resume (optional)

*Visa Eligibility:  This program is not eligible for I-20 or DS-2019 issuance by the University of Maryland. For anyone needing these documents, consider applying for a full-time  master's program offered on campus .

Applicants with an undergraduate GPA of less than 3.0 may be admitted on a provisional basis if they have demonstrated satisfactory performance in another graduate program and/or their work has been salutary.

Applicants with foreign credentials must submit academic records in the original language with literal English translations. Allow at least three months for evaluation of foreign credentials. International applicants are advised to review the Graduate School English requirements to learn whether or not the submission of TOEFL or IELTS scores is required.

APPLICATION DEADLINES

Resources and links:.

Other Deadlines:   mage.umd.edu/application-process Program Website:  mage.umd.edu   Application Process:  gradschool.umd.edu/admissions/application-process/step-step-guide-applying

• Robotics Engineering (M.Eng)

This program is currently offered 100% online. The Clark School of Engineering’s Distance Education Technology and Services (DETS) office administers a live interactive distance education system  and webcast course capture for students to take courses as they are happening, in some instances, or at a time convenient for their schedule each week. In addition to lecture dissemination, DETS provides state-of-the-art chat, bulletin board, video chat, group presentation, and discussion technologies that give our distance students the same, if not more access to faculty and their fellow students.

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Best Doctorates in Automation and Robotics Engineering: Top PhD Programs, Career Paths, and Salaries

If you are interested in furthering your education and advancing in the engineering field, you should take a look at the best PhDs in Automation and Robotics Engineering. It can be challenging to find the best schools for automation and robotics engineering PhDs, so we have created this comprehensive guide to learn everything you need to know.

We highlight the best automation and robotics engineering PhD programs, their costs, and thesis subjects you should consider. This guide discusses automation and robotics engineering jobs and their respective salaries, so you can be sure to have a long and fruitful career after graduation.

Find your bootcamp match

What is a phd in automation and robotics engineering.

A PhD in Automation and Robotics Engineering is the highest academic degree that teaches you how to program, design, and create robots. Usually, a PhD in this field qualifies you to teach in universities and qualifies you for the highest positions in your professional career.

How to Get Into an Automation and Robotics Engineering PhD Program: Admission Requirements

The requirements to get into an automation and robotics engineering PhD program include an application letter and a personal statement. Students should submit a resume that discusses their academic and research background and area of focus during the program. Other admission requirements include letters of recommendation and all school transcripts.

When getting into an automation and robotics engineering PhD program, you want to prove that you are a good fit for the department. Although it is not a requirement, they expect you to be proficient with programming languages like C, Python, Java, and MATLAB.

PhD in Automation and Robotics Engineering Admission Requirements

• GRE, GMAT, or TOEFL
• Transcripts from all post-secondary school institutions
• Letters of recommendation
• Statement of purpose

Automation and Robotics Engineering PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Automation and Robotics Engineering?

It can be hard to get into a PhD program in automation and robotics engineering. Once you meet the admission requirements for the program, you will need to provide a strong argument about why you want to pursue the program with your select school. Many schools offer part-time, full-time, and online formats, giving you more options to choose from.

Your chances of getting into a PhD in Automation and Robotics Engineering program depends on the number of students applying. There could be over 300 students applying for only 25 spots. However, Oregon State University boasts a school acceptance rate of 83,4 percent, higher than Stevens Institute of Technology’s rate of 53 percent.

How to Get Into the Best Universities

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Best PhDs in Automation and Robotics Engineering: In Brief

Best universities for automation and robotics engineering phds: where to get a phd in automation and robotics engineering.

The best universities for automation and robotics engineering PhDs usually have quality curricula, a strong faculty, and cutting-edge research facilities. Some of the best schools have made groundbreaking discoveries or inventions in the field. If you are wondering where to get a PhD in Automation and Robotics Engineering, the guide below has all your answers.

Founded in 1900, Carnegie Mellon University is a private research university renowned for its computer science research programs. The US News and World Report rank CMU as the best institution for learning programming languages and artificial intelligence. The Robotics Institute is a wing of Carnegie Mellon University dedicated to robotics research and education.

PhD in Robotics 

The PhD in Robotics program at Carnegie Mellon is unique because it offers students a comprehensive and interdisciplinary approach to studying robotics. Students in the PhD program have access to state-of-the-art labs, equipment, and some of the world's leading experts in robotics. 

Robotics students will learn cognition core, action core, and math foundation core courses with topics ranging from AI and machine learning to mechanics and applied math. Students improve their writing, speaking, communication, and collaboration skills.

PhD in Robotics Overview

• Program Length: 2 years
• Acceptance Rate: N/A
• Tuition and Fees: $645/ credit
• PhD Funding Opportunities: Graduate Fellowship, Research Fellowship, Project scholarship

PhD in Robotics Admission Requirements

• Minimum of an undergraduate degree
• Application fee: $125
• GRE (optional for 2022-2023 academic year)
• Transcripts
• Three letters of recommendation

The Georgia Institute of Technology is a top choice for students seeking a quality graduate education. The graduate school offers more than 130 programs through six colleges. The school was founded in 1885.

PhD in Robotics

This program helps students develop the skills needed to conduct research and contribute to the advancement of robotics technology. The curriculum provides students with an in-depth knowledge of the principles and theories of robotics and hands-on experience in the design and development of robotic systems. 

In addition, students will complete some elective courses that allow them to specialize in a particular area of robotics. Core courses include mechanics, controls, perception, and artificial intelligence.

• Program Length: 1.5 years (15 credits per semester for a total of 36 credits)
• Tuition and Fees: $586/credit (in state); $1,215/credit (out of state)
• PhD Funding Opportunities: Graduate Assistantship, research scholarship, Microsoft Azure Credit Awards
• Bachelor's degree or the equivalent
• Application fee: $75
• GRE is recommended
• Recommendation letters
• Online application

Founded in 1957, Oakland University is a public university that offers a variety of graduate programs that can accommodate students’ needs and interests, including business administration, engineering, education, and information technology. Graduate students conduct research in world-class facilities and access unique learning opportunities.

PhD in Electrical and Computer Engineering

The PhD in Electrical and Computer Engineering program focuses on designing, developing, and deploying new electrical and computer systems. It is research-intensive, and students are expected to complete a dissertation in addition to their coursework. 

The focus areas include systems engineering, computer engineering, embedded systems, communications and networking, and control systems. Students will have to study algorithms and complexity, graph theory and application, and computer algebra.

PhD in Electrical and Computer Engineering Overview

• Program Length: 2-4 years
• Tuition and Fees: $807.5/credit (in-state); $1,027/credit (out of state)
• PhD Funding Opportunities: Graduate Future Faculty Fellowship, Research Fellowship, Project scholarship, Graduate Assistantship, Scholarships

PhD in Electrical and Computer Engineering Admission Requirements

•  Master’s degree in electrical or computer engineering or a related field
• All official transcripts
• Two official recommendations for graduate admission forms
• Proof of English proficiency
• Application fee: $45
• GRE is required 
• Statement of objectives 

Oregon State University offers several graduate degree and certificate programs with unique specialties in robotics, computer science, and business. OSU has one of the largest and most diverse research programs in the United States, with more than $400 million in research expenditures. The school was founded in 1868.

This graduate program draws on faculty and resources from the Departments of Mechanical Engineering, Electrical Engineering, and Computer Science. The curriculum covers locomotion and manipulation, machine learning and perception, and human-robot interaction. Students in this program get to choose their major professor who will advise them throughout their studies.

• Program Length: 2 years (6 quarters)
• Acceptance Rate: 83.4%
• Tuition and Fees: $557/credit (in state); $1,105/credit (out of state)
• PhD Funding Opportunities: Graduate Research Assistantship, Graduate Teaching Assistantship, COE Dean’s Scholarship, SSI Scholarship, External Scholarships, Grant Resources
• At least a Bachelor’s Degree in Engineering, Mathematics, or Computer Science
• GRE is not required 

Stevens Institute of Technology is a private research university that offers graduate programs in business, engineering, science, and technology. These programs have a strong focus on entrepreneurship and offer a range of programs and resources to help students start their businesses. 

Founded in 1870, Stevens also has a well-established network of alumni entrepreneurs who provide mentorship and support and has an enrollment of just under 7,000 students.

PhD in Mechanical Engineering

The Stevens Institute of Technology offers a PhD in Mechanical Engineering program with an option to specialize in robotics engineering. The curriculum is divided into core courses, electives, research, and a thesis. 

In addition to completing coursework, students must also pass a qualifying exam and write a dissertation. Students are encouraged to conduct original research under the guidance of a faculty advisor.

PhD in Mechanical Engineering Overview

• Program Length: 2-3 years (84 credits)
• Acceptance Rate: 53%
• Tuition and Fees: $1,776/credit
• PhD Funding Opportunities: Teaching and Research Assistantship 

PhD in Mechanical Engineering Admission Requirements

• Minimum of a Bachelor's Degree in Electrical or Computer Engineering 
• Application fee: $60
• A statement of purpose
• Official college transcripts
• Two letters of recommendation

Founded in 1876, the University of Colorado offers graduate degrees in various fields, including business, engineering, education, and public health. The school has a strong reputation and offers a variety of programs that can help every doctoral student achieve their goals.

PhD in Robotics and Systems Design

This program is highly interdisciplinary. It is jointly offered by the Department of Electrical, Computer, Energy Engineering, and the Department of Mechanical Engineering. The curriculum for the Robotics and Systems Design PhD program is very flexible, and students can choose from courses such as industrial automation, optimal design, and soft machines.

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PhD in Robotics and Systems Design Overview 

• Program Length: Five years 
• Tuition: $2,562/credit (in state); $5,688/credit (out of state)
• PhD Funding Opportunities: Teaching or Research Assistantship

PhD in Robotics and Systems Design Admission Requirements

• Bachelor's degree in a related field 
• Personal statement  

The University of Michigan was founded in 1817 and is the oldest university in the state of Michigan. It offers a variety of programs at the graduate level but is renowned for its medical and engineering programs. The university has been ranked highly by various sources, including U.S. News & World Report, Forbes, and the Academic Ranking of World Universities. 

The Robotics PhD program at Michigan is interdisciplinary and allows students to specialize in one of four areas, namely robotics engineering, autonomous systems, human-robot interaction, or machine learning. The program has a strong emphasis on hands-on experience, and students are required to complete several robotics projects during their studies.

Students must complete the Comprehensive Qualifying Exam (CQE), a research thesis, and a total of 30 credits to graduate. Students can take courses such as robotic systems laboratory, programming for robotics, and wearable sensors.

• Program Length: 4.5 years
• Tuition and Fees: $1,730/credit (in state); $3,132/credit (out of state)
• PhD Funding Opportunities: Graduate Student Research Assistantship, Graduate Student Instructorship
• Bachelor's degree
• GRE is not required for PhD application
• Transcripts 
• Three letters of recommendation 
• Academic statement of purpose
• Personal statement
• Curriculum Vitae

The University of Utah has a rich history dating back to 1850 when the state legislature approved the creation of the university. The graduate school offers about 71 programs across 17 colleges and schools. Students can study business, education, engineering, law, medicine, or social work.

PhD in Mechanical Engineering - Robotics Track

The program is designed for students who want to develop the skills necessary to create and manage advanced robotic systems. Students in the Robotics Track will gain experience in computer-aided design, motion planning and control, sensor fusion, and machine learning. 

They will also have the opportunity to specialize in one or more areas of robotics, such as medical robotics, service robotics, or unmanned aerial vehicles. Core courses in robotics include intro to robotics, artificial intelligence, and robot design.

PhD in Mechanical Engineering - Robotics Track Overview

• Program Length: 3 years
• Tuition and Fees: $1,805/credit (in state); $5,051.02/credit (out of state)
• PhD Funding Opportunities: Teaching Assistantship, Research Assistantship, and Graduate Assistantship

PhD in Mechanical Engineering - Robotics Track Admission Requirements

• Minimum of a degree in an undergraduate program
• Application fee: None

The University of West Florida was founded in 1963 as a junior college and became a four-year university in 1971. It offers graduate programs in business, education, engineering, health, and science. The majority of the graduate programs offered are asynchronous, which means that students can access the course materials at any time that is convenient for them.

PhD in Intelligent Systems and Robotics

The program provides students with a strong foundation in intelligent systems theory and practice and robotics. It is jointly offered by the Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering. 

The coursework covers artificial intelligence, machine learning, robotics, computer vision, sensor fusion, and data mining. Graduates can work in development, healthcare, and high-tech industries.

PhD in Intelligent Systems and Robotics Overview

• Program Length: Three years
• Tuition and Fees: $377.60/credit (in state); $1,037.24/credit (out of state)
• PhD Funding Opportunities: Graduate assistantships, UWF Graduate Grand

PhD in Intelligent Systems and Robotics Admission Requirements

• Bachelor’s or master’s degree
• Application fee: $30
• Oral interview (if deemed necessary)

Founded in 1865 as a private research university, Worcester Polytechnic Institute (WPI) focuses on the instruction and research of technical arts and applied sciences. The school offers graduate degrees in science, engineering, technology, business, the social sciences, and the humanities and arts.

PhD in Robotics Engineering

The program covers the design, analysis, and control of robotic systems, with a focus on applications in manufacturing and engineering. Students learn about a variety of robotics technologies, including industrial robots, service robots, micro-robots, and unmanned aerial vehicles.

PhD in Robotics Engineering Overview

• Program Length: Five years
• Tuition and Fees: $28,980/ year
• PhD Funding Opportunities: Graduate Fellowship, Graduate Assistantship, Graduate Research Fellowship

PhD in Robotics Engineering Admission Requirements

• Application fee: $70
• All post-secondary education transcripts

Can You Get a PhD in Automation and Robotics Engineering Online?

Yes, you can get a PhD in Automation and Robotics Engineering online, even from accredited institutions. Online PhD programs are becoming more popular every year as it allows people to continue their education without having to leave their jobs or families. Online academic programs are also typically cheaper and faster to complete than on-site programs.

Best Online PhD Programs in Automation and Robotics Engineering

How long does it take to get a phd in automation and robotics engineering.

It takes about two to six years to get a PhD in Automation and Robotics Engineering. The duration of the program varies with the school, the program schedule, and the mode of delivery. For example, part-time PhD programs typically take longer time to complete compared to full-time PhD degree programs.

A typical PhD in Automation and Robotics Engineering program comprises teaching sessions and direct research components. Students will develop a thesis, conduct comprehensive research, and defend their proposal before the end of their program.

Is a PhD in Automation and Robotics Engineering Hard?

Yes, a PhD in Automation and Robotics Engineering is hard. It is one of the most challenging degrees you can earn. It covers a wide range of topics, from mechanical engineering to computer science. Students should be prepared for a lot of hard work in programming, mathematics, and have an engineering background to excel in an automation engineering program.

The most challenging part of PhD programs in robotics and automation is often the research. From choosing a dissertation topic to conducting the actual research, the program can pose diverse types and levels of difficulties. Depending on the nature of the project, it can also be costly and time-demanding.

How Much Does It Cost to Get a PhD in Automation and Robotics Engineering?

It costs $19,314 per year to get a PhD in Automation and Robotics Engineering , according to reports from the National Center for Education Statistics. If you are running the program for five years, that adds up to approximately $96,570 for the entire length of the program.

There is a high chance of getting your doctorate at cheaper rates at a government-owned college instead of a private university. Books, accommodation, and expenses for research are some other costs that you may need to consider when preparing for a PhD program.

How to Pay for a PhD in Automation and Robotics Engineering: PhD Funding Options

The PhD funding options that students use to pay for a PhD in Automation and Robotics Engineering include student or financial loans. These loans often cover tuition expenses, living costs, and other expenses related to the PhD program. They may apply for scholarships or grants.

Students in a graduate PhD program can also apply for fellowships and assistantships such as a teaching assistantship, a graduate assistantship, or a research assistantship. No matter the choice, graduate students have multiple funding options to choose from.

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What Is the Difference Between an Automation and Robotics Engineering Master’s Degree and PhD?

The difference between an automation and robotics master’s degree and a PhD is the amount of research involved. A master’s degree typically requires two years of full-time study, while a PhD can take up to five years. A PhD is the highest level of academic degree and is more research-oriented and involves writing a dissertation on an original topic.

Unlike in master’s degree programs, where you can take an internship in place of a capstone project, a PhD degree requires you to conduct comprehensive research on core research questions relevant to the field. Your thesis prepares you to become a university professor or professional researcher and qualifies you for the highest-level jobs.

Master’s vs PhD in Automation and Robotics Engineering Job Outlook

If you have a PhD in Automation and Robotics Engineering, you are qualified to teach in a postsecondary position. The Bureau of Labor Statistics (BLS) projects a 12 percent growth rate for this profession . A job you can get with a master’s degree is a computer and information research scientist, which boasts a job outlook growth of 22 percent over the next ten years.

The benefit of getting a PhD in Automation and Robotics Engineering is that you qualify for any jobs that require a master’s degree, while master’s degree holders do not qualify for PhD positions. BLS even states that a lot of employers prefer to hire PhD holders .

Difference in Salary for Automation and Robotics Engineering Master’s vs PhD

According to PayScale, the average annual salary for automation and robotics engineering PhD jobs is $107,000. That could be higher depending on the job title and level of experience. PhD holders are qualified to become research and development engineers, engineering project managers, robotics engineers, and senior software engineers.

In contrast, Master’s Degree in Automation and Robotics Engineering salaries average at $90,000 per year. Like the PhD holders, these professionals increase their earning potential as they get more experience and higher job titles. Some jobs that Master’s Degree in Automation and Robotics Engineering grads occupy are a senior mechanical engineer and project engineer.

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Why You Should Get a PhD in Automation and Robotics Engineering

You should get a PhD in Automation and Robotics Engineering because it will give you the skills you need to be at the forefront of this growing industry. It significantly increases your earning potential, opens you up to high-end career opportunities, and helps you fast-track your journey up the career ladder. Below are the benefits of an automation and robotics engineering PhD.

Reasons for Getting a PhD in Automation and Robotics Engineering

• Get endless opportunities. Automation and robotics will play an increasingly important role in our lives and in the economy. A PhD in Automation and Robotics Engineering will give you the skills you need to be at the forefront of this growing industry.
• Expand your network. The research work of this program helps you to connect with other student researchers and faculty members from various specializations and departments. Workshops and seminars help students connect to leading researchers and scientists worldwide.
• Solve industry-wide problems . Automation and robotics engineering PhD students often conduct research to solve key unanswered questions in the industry. Ground-breaking research and discoveries can get you global recognition and qualify you for many prestigious awards.
• Get equipped for the next big step. A doctoral degree equips you with the skills, knowledge, and experience to dive into various career paths. After the program, you may begin a startup, join academia, advance in a professional tech career, or choose to continue as a computer science researcher.

Getting a PhD in Automation and Robotics Engineering: Automation and Robotics Engineering PhD Coursework

With the advent of new technologies, getting a PhD in Automation and Robotics Engineering can help you get the skill and exposure you need to stay on top of your career. We provided an overview of a typical automation and robotics engineering coursework that you’ll encounter during your studies.

Artificial Intelligence

The artificial intelligence (AI) course is a core component of the robotics engineering PhD curriculum. Students learn the theories and principles underlying the design and deployment of AI systems. Topics covered in the course include machine learning, probabilistic inference, decision theory, natural language processing, and robotics.

This advanced course covers topics like supervised and unsupervised learning, reinforcement learning, neural language processing, and their application in advanced systems. Throughout the course, students will use a variety of programming languages and tools like Python, MATLAB, TensorFlow, scikit-learn, and Keras to implement machine learning algorithms.

Mechatronics

This course covers topics such as microelectromechanical systems, robotics, control theory, smart materials and structures, and manufacturing processes. You’ll learn how to design and analyze mechatronic systems and how to optimize their performance.

Human-Robot Interaction

Human-robot interaction studies how people interact with robots and vice versa. It encompasses areas such as robotics, psychology, and design. Researchers in human-robot interaction work to create better and more natural interactions between humans and robots. The course also teaches the principles of HRI and ethical concerns surrounding robotics.

Robotic and Dynamic Programming

This course covers the mathematical foundations of optimal control theory and its applications to problems arising in robotics and engineering. Students will study the controllability and observability of linear systems. They will learn optimal control problems for discrete-time and continuous-time systems and discuss the problem of motion planning for robots.

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How to Get a PhD in Automation and Robotics Engineering: Doctoral Program Requirements

The doctoral program requirements for automation and robotics engineering typically demands students to complete a dissertation on a research topic of their choice. They must complete a certain number of credit hours, which may be earned through coursework or research. We have highlighted below the steps required to know how to get a PhD in Automation and Robotics Engineering.

Most schools require students to maintain excellent grades all through the program length. Students have to complete coursework and research work with a grade of B or higher. In addition, they will also have to pass a final exam to get their doctorate.

Doctoral students in the field of automation and robotics engineering can expect to complete a rigorous program that will require them to maintain a GPA of 3.5 or higher. In addition to completing coursework, doctoral students will also be required to complete and defend a dissertation.

The coursework of automation and robotics engineering PhD programs includes core courses in mathematics, engineering, and computer science, along with electives in the student’s chosen specialization. To complete the doctoral program requirements, students must also complete an electives requirement.

To get a PhD in Automation and Robotics Engineering, you will need to pass the final exam. This is a comprehensive test that will cover all of the material that you have learned throughout your doctoral program. The exam is usually administered by a panel of professors who are experts in the field and includes both written and oral components.

A thesis is a concrete documentation of a student's original research work carried out throughout the program. Including the research observation, procedure, and conclusion, it is usually 70,000 to 100,000 words long.  

A thesis is required to be submitted, defended, and accepted before a Doctorate in Automation and Robotics Engineering is awarded to a student. Your thesis should provide answers to questions, solutions to a problem, or improvements to already existing solutions or theories in the robotics field.

Potential Careers With an Automation and Robotics Engineering Degree

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PhD in Automation and Robotics Engineering Salary and Job Outlook

With a PhD in Automation and Robotics Engineering you can work in several industries, institutions, and organizations that involve manufacturing, data, engineering, research, and automation. BLS projects a seven percent growth for robotic engineers in the next decade. The rapid advancement in technology will further positively affect this prediction.

What Can You Do With a PhD in Automation and Robotics Engineering?

With a PhD in Automation and Robotics Engineering, you can work as a research engineer, a systems engineer, or a product development engineer. These positions all require working with complex machinery and designing new systems or products. You can also work as a professor at a university, teaching students and conducting research about the principles of robotics and automation.

Best Jobs with a PhD in Automation and Robotics Engineering

• Engineering project manager
• Computer software research and development engineer
• Senior software engineer
• Senior robotics engineer
• Robotics engineering professor

What Is the Average Salary for a PhD in Automation and Robotics Engineering?

The average salary for a graduate with a PhD in Robotics and Automation degree is $138,000 per year, according to PayScale. However, this number can vary depending on the level of experience and position the holder has. Generally, those with a PhD in this field can expect to make a comfortable living.

Highest-Paying Automation and Robotics Engineering Jobs for PhD Grads

Best automation and robotics engineering jobs with a doctorate.

Building a career in automation and robotics engineering typically requires you to have specialized knowledge and skills, and a doctorate gives you that. It also positions you to take on high-paying jobs. Here are some of the best automation and robotics engineering jobs with a doctorate.

These professionals are responsible for planning, organizing, and managing the execution of engineering projects. They work with teams of engineers to make sure projects are completed on time and within budget. 

Engineering project managers must be able to juggle multiple tasks and priorities and have a strong understanding of the engineering process. They must also be able to effectively communicate with engineers and clients.

• Salary with an Automation and Robotics Engineering PhD: $152,350
• Job Outlook: 4% job growth from 2020 to 2030
• Number of Jobs: 197,800
• Highest-Paying States: California, New Mexico, Colorado, New Jersey, Texas

Computer software research and development engineers are responsible for designing, creating, testing, and maintaining software applications and programs. They work with teams of programmers and engineers to create new and innovative software products that meet the needs of their company or client.

• Salary with an Automation and Robotics Engineering PhD: $131,490
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 33,000
• Highest-Paying States: California, Washington, Maryland, New York, Rhode Island

Senior software engineers develop and manage software applications according to the company's requirements. They work with team members to design and implement solutions, as well as troubleshoot and debug issues. Considering their experience in the field, they mentor junior software engineers and oversee the work of other engineers.

• Salary with an Automation and Robotics Engineering PhD: $110,140
• Number of Jobs: 1,847,900

A robotics engineer is someone who designs and creates robots and robotic systems. They may work on the software, hardware, or mechanics of robots, and are involved in testing and deploying robots. In addition, they train other engineers and staff on the use of robotics in manufacturing and production environments.

• Salary with an Automation and Robotics Engineering PhD : $95,300  
• Job Outlook: 7% job growth from 2020 to 2030
• Number of Jobs: 299,200
• Highest-Paying States: New Mexico, Louisiana, District of Columbia, California, Alaska

A robotics engineering professor is someone who teaches students about the design and operation of robots. They help students apply what they learn in the classroom to real-world situations. Beyond teaching, they carry out research on various aspects of automation and robotics.

• Salary with an Automation and Robotics Engineering PhD : $79,640
• Job Outlook: 12% job growth from 2020 to 2030
• Number of Jobs : 1,276,900
• Highest-Paying States: California, Illinois, Rhode Island, Washington, Alabama

Is a PhD in Automation and Robotics Engineering Worth It?

Yes, a PhD in Automation and Robotics Engineering is worth it. Earning this degree from a reputed university can open up a world of opportunities for you in the field of robotics. You get the opportunity to connect with several leading minds in science and technology.

Automation and robotics engineering PhD students are constantly on the lookout for new technological advancements which have the potential to disrupt entire industries. A breakthrough can bring you to the limelight and be a foundation for starting an entrepreneurship or research career. This degree positions you for the highest-paying jobs in the field.

Additional Reading About Automation and Robotics Engineering

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PhD in Automation and Robotics Engineering FAQ

No, a PhD is not the minimum requirement for employment in robotics. However, it is preferred by most employers. A Master’s Degree in Robotics should suffice for most robotics-related jobs, but a PhD will make you more employable because you will be considered fit to handle advanced-level tasks.

No, although work experience may be a criterion for admission in some schools, it is usually not required. However, it is generally advised to have prior work experience as it will aid you in your pursuit of a doctorate.

Most robotics professionals have a Bachelor’s or Master’s Degree in Electrical, Mechanical, or Computer Engineering. These are the best fields to consider getting a bachelor’s or master’s in, as either of them will prepare you for a professional career in robotics.

On average, it takes about five years to complete a PhD program in robotics. However, the time a student will spend pursuing a PhD depends on the nature of the coursework and the school.

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Robotics and Autonomous Systems

Whiting school of engineering.

The Robotics and Autonomous Systems program targets students that want to engineer and build complex robotics systems that operate with various degrees of autonomy. Students will have the opportunity to learn the theory of and actually develop autonomous robotic systems in multiple domains including transportation systems, medical robotics, internet of things, smart cities, and industrial systems. The program emphasizes a holistic approach to robotics and autonomous systems including dynamics and control, perception and cognition, autonomous decision making, human-robot and robot-robot collaboration, policy and ethics.

Program Committee

David Silberberg, Program Co-Chair Principal Professional Staff JHU Applied Physics Laboratory

Louis L. Whitcomb, Program Co-Chair Professor of Mechanical Engineering Laboratory for Computational Sensing and Robotics Johns Hopkins University

Anthony N. Johnson, Program Manager Senior Professional Staff JHU Applied Physics Laboratory

• Robotics and Autonomous Systems, Master of Science

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Graduate Degrees in Robotics

The robotics program at CU Boulder offers you a uniquely flexible, interdisciplinary education so you can build a successful future in robotics. Your education will combine coursework and research from across engineering fields and give you the opportunity for a rewarding career in a wide array of industries. These include technical leadership positions in security, defense, agriculture, medicine/health care, hospitality, industry/manufacturing and first response.

We offer a PhD in robotics and a master’s degree in robotics with thesis and nonthesis options. Be part of the future of robotics at CU Boulder.

Degree Types

• College of Engineering and Applied Science
• Robotics Program
• Robotics Faculty

#1 public university for NASA research funds

#3 state for technology and science (Milken Institute, 2022)

39 tenured and tenure-track professors

Degree Options & Application Requirements

Master of science (thesis option).

• 30 credit hours (5000-level courses and above)
• 4–6 thesis credit hours (of the 30 required for a PhD)
• Minimum GPA 3.00
• 18 credit hours in ROBO courses
• One core course required: Intro to Robotics
• Candidacy: C or better in all 5000-level courses and above

GRE/GMAT Requirements

Please visit our Admissions page for more information.

Application Deadline

Master of science (nonthesis option).

• H5: GRE/GMAT Requirements

Doctor of Philosophy

• 30 dissertation credit hours
• One core course required: ROBO 5xxx: Intro to Robotics
• Candidacy: B- or better in all 5000-level courses and above

Research Areas

• Biomedical Robotics
• Field, Service and Space Robotics
• Human-Centered Robotics
• Optimization and Control
• Reasoning, Decision Making and Assurance
• Smart Materials and Intelligent Mechanisms

Learn More About Research Areas at CU Boulder

Funding Opportunities

We understand funding opportunities play a major role in helping you to decide whether a program is right for you. At CU Boulder, PhD students are supported through research and teaching assistantships. Students are also encouraged to apply for their own sources of funding.

Explore General Funding 

Graduate Student Resources

Student success is best met with holistic support and resources. CU Boulder offers robust resources, programming and opportunities to help students establish meaningful connections, adjust to graduate student life and find assistance when they need it. Whether it’s academic, social, or health and wellness support, the university provides an array of resources to meet the diverse needs of our students.  

Graduate Student Organizations

Explore ways to connect with other graduate students on campus, online and off campus, locally and internationally.

Diversity, Equity, Access & Inclusion

Learn about our commitment to ensuring our graduate education is accessible and welcoming for all students.

Health & Wellness

Find resources with contact and location information for a broad range of services.

Leadership Development

Attend regular, graduate-specific workshops and seminars to hone practical and professional skills before entering the job market.

Peer Mentoring Program

Connect with an established graduate peer mentor who serves as your guide through the graduate student experience.

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Robotics and Autonomous Systems PhD

Key information, full-time - 4 years, part-time - 8 years.

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Why choose this programme

On our Robotics and Autonomous Systems PhD, you’ll study, design and build novel solutions and behaviours for robots and, in general, autonomous systems.

Robotics is a multidisciplinary branch of engineering and science that deals with the design, construction, operation and use of robots, as well as computer systems for their control, sensory feedback and information processing.

Robots must interact with people and objects, as well as challenging real-world environments. They must simulate human perception mechanisms, shared control and natural multi-modal interfaces. Robots must also exhibit a high degree of autonomy and intelligence when performing highly complex tasks, such as condition monitoring, prognostics and health management, and long-term persistent autonomy, including validation and verification.

Designing and managing robotics and autonomous systems requires diverse skills from various engineering disciplines such as electronics, mechatronics, control and signal processing, together with state-of-the-art micro and nano-sensors, embedded multi-core computing and artificial intelligence. This programme embraces all these disciplines and aims to train the next generation of innovators in the growing field of robotics and autonomous systems.

In the Research Excellence Framework (REF) 2021, the University of Surrey ranks 15th in the UK for research power for engineering and top 20 in the UK for the overall quality of research outputs (research papers and other published works).

Frequently asked questions about doing a PhD

What you will study

Our PhD in Robotics and Autonomous Systems will give you the knowledge, skills and expertise needed for a career in engineering, research or academia. You’ll be intellectually challenged, develop research and management skills, and become an expert in your chosen field of study.

It normally takes around three years to complete a full-time PhD. You will be assigned a minimum of two supervisors, who will guide you through your studies. You will learn how to conduct literature reviews, develop your ideas, and verify them with experiments, and collaborate and perform interdisciplinary research. You will develop your skills over time to become an independent researcher.

Your final assessment will be based on the presentation of your research in a written thesis, which will be discussed in a viva examination with at least two examiners. You have the option of preparing your thesis as a monograph (one large volume in chapter form) or in publication format (including chapters written for publication), subject to the approval of your supervisors.

Research support

The professional development of postgraduate researchers is supported by the Doctoral College , which provides training in essential skills through its Researcher Development Programme of workshops, mentoring and coaching. A dedicated postgraduate careers and employability team will help you prepare for a successful career after the completion of your PhD.

Research themes

• Aerial robotics
• Bioinspired robots
• Field robotics
• Human-robot interaction
• Robots for condition monitoring and prognostics
• Robots for space applications
• Robot-soil interaction
• Robotic sensing and perception
• Soft robotics.

Our academic staff

See a full list of all our  academic staff  within the School of Mechanical Engineering Sciences.

Research centres

Research facilities.

As a PhD student within the School of Mechanical Engineering Sciences, you will have access to all our facilities , including our mechanical testing facility.

Entry requirements

Applicants are expected to hold a first or upper second-class (2:1) UK degree in a relevant discipline (or equivalent overseas qualification), or a lower-second (2:2) UK degree plus a good UK masters degree - distinction normally required (or equivalent overseas qualification).

International entry requirements by country

English language requirements.

IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.

These are the English language qualifications and levels that we can accept. 

If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses , designed to take you to the level of English ability and skill required for your studies here.

Application requirements

Applicants are advised to contact potential supervisors before they submit an application via the website. Please refer to section two of our  application guidance .

After registration

Students are initially registered for a PhD with probationary status and, subject to satisfactory progress, subsequently confirmed as having PhD status.

Selection process

Selection is based on applicants:

• Meeting the expected entry requirements
• Being shortlisted through the application screening process
• Completing a successful interview
• Providing suitable references.

Student life

At Surrey we offer the best of both worlds – a friendly campus university, set in beautiful countryside with the convenience and social life of Guildford on your doorstep.

Start date: July 2024

Start date: September 2024

Start date: January 2025

Start date: April 2025

• Annual fees will increase by 4% for each year of study, rounded up to the nearest £100 (subject to legal requirements).
• Any start date other than September will attract a pro-rata fee for that year of entry (75 per cent for January, 50 per cent for April and 25 per cent for July).

View the list of fees for all postgraduate research courses.

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Code of practice for research degrees

Surrey’s postgraduate research code of practice sets out the University's policy and procedural framework relating to research degrees. The code defines a set of standard procedures and specific responsibilities covering the academic supervision, administration and assessment of research degrees for all faculties within the University.

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Intelligent Systems & Robotics, Ph.D.

Concurrent course.

This course may be taken prior to or during the same term.

The goal of the Ph.D. program in Intelligent Systems and Robotics is to educate the next generation of educators and researchers in the field. Students will learn to develop leading-edge software and hardware technology to combine human and machine elements together in ways that exploit their respective strengths and mitigate their respective weaknesses.  After laying a groundwork common to all, the Ph.D. in Intelligent Systems and Robotics program will provide students with individualized curricula tailored to their interests. The program is comprised of foundational courses in Artificial Intelligence (AI) that address topics including knowledge representation and reasoning, machine learning, computational methods in AI, basic hardware/software interaction, and research methods. After completing the core, students select advanced courses based upon their research interests. Beyond course work, the program's cornerstone will be hands-on research in robotics and AI and will leverage the proximity and world-class talent at UWF and IHMC.  

• Admission Requirements

In addition to the University graduate admission requirements described in the  Admissions section  of the catalog, the department bases decisions for regular admission on a holistic review of credentials in which the following criteria are used to assess the potential success of each applicant:

• Submission of the Graduate Record Exam (GRE). Attainment at the 70% percentile is preferred.
• Incoming students who do not hold a master's degree in an approved area will be required to complete a minimum of 27 sh of content-based coursework (9 hours of post-bachelor courses, 9 sh of doctoral core courses, and 9 sh of doctoral electives) in addition to the required 24 sh of dissertation. Students may petition to satisfy preparatory coursework by proficiency examination. Any coursework taken from outside the program must be approved by the student's advisor and program director. 
• Master's or bachelor's institutional GPA - minimum of a 3.0 GPA; however, successful applicants will typically have GPAs well above the minimum. 
• Submission of a curriculum vitae (CV)
• Reason you are interested in this program
• Specific research area(s) in which you are interested
• Any work you have completed within your area of interest, including courses taken, previously published representative paper(s), summary of all thesis work, research/project reports, presentations, demonstrations, etc.
• Name(s) of faculty (at UWF and IHMC) with whom you are interested in working
• Whether you will be self-supported or in need of an assistantship
• Your plans after completing your Ph.D.
• At least one (1) of these LORs must be from an academic reference.
• Please advise all recommenders of the following requirements: All LORs must be on official letterhead of the recommender's institution or organization and must contain the recommender's official written signature. 
• Participation in an oral interview if deemed necessary by the admission committee
• Those without a background in algorithm analysis, data structures and advanced computer programming skills will require additional preparatory work.
• For a complete list of admission requirements for international applicants, please visit the  International Graduate Admission  section of the catalog. 

Program Requirements

Gpa requirements.

• Students are required to complete all courses with a grade of "B" or better and maintain an overall GPA of 3.25 or better.

Advancement to Candidacy

• Completion of 18 or 30 semester hours for candidates entering the program with an approved master's or bachelor's degree, respectively. 
• Passing a comprehensive qualifying exam with written and oral components.

Dissertation

• All doctoral candidates are required to work with a faculty mentor to conduct, document, and publicly defend a piece of original research.

All coursework must be completed with a grade of "B" or better with a minimum overall GPA of 3.25.

• Core Courses (9 sh)
• Electives (9 sh) 
• Dissertation (24 sh)

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The PDF will include all pages within the Graduate Catalog.

Graduate Certificates in Robotics Engineering Online

WPI was one of the first universities in the nation to offer an online master’s program in Robotics. This popular program has since evolved and expanded, now offering both a full-length M.S. degree and two graduate certificates in Robotics Engineering online to students around the world.

This program is also available on campus

WPI’s online Robotics Engineering graduate certificates give students a solid foundation in the fundamentals of robotics engineering and an awareness of the systems contexts within which robotic systems are engineered. These programs are a way to deepen your understanding and knowledge of robotics to either advance your career or start your journey to a master’s degree in this field.

Offered 100% online, our graduate certificates are a convenient way to advance your skills in robotics without pressing pause on your career. You’ll earn the same certificate as students on campus, from the comfort of your home or office. 

Also available is an online robotics engineering master's degree . Interested in first earning your bachelor’s degree in Robotics Engineering? At WPI, we offer an innovative undergrad degree in robotics engineering that provides students the opportunity to build, interact, and explore the function of robots. Check out our bachelor’s in Robotics Engineering  here .

Robotics Engineering Info Session

View our on-demand webinar to be introduced to our online graduate programs in Robotics Engineering. Get an overview of program logistics, what online learning looks like, the application process, and more!

Graduate Studies Series

Team members from Graduate & Professional Studies host quick and convenient webinars designed to highlight popular topics when starting grad school. Take a deep dive into specific areas of interest such as how to secure funding, how to ace your application, an overview of student services, and more!

Online Graduate Certificates in Robotics Engineering

Core (3 credits)

• RBE 500.Foundations of Robotics

Depth (9 credits)

Courses listed below OR 9 credits of thematically-related RBE graduate-level coursework with RBE Graduate Program Committee approval.

• RBE 501.Robot Dynamics
• RBE 502.Robot Control
• SYS 501.Concepts of Systems Engineering

Elective (3 credits)

Elective graduate coursework in Math, Science or Engineering with advisor approval.

All Robotics Engineering graduate courses are three credits, unless otherwise noted below.

To find the next offering of online Robotics Engineering courses, visit the  Registrar’s site .

To view a course description, visit the  Graduate Catalog . 

Admission Qualifications for the Online Robotics Engineering Graduate Certificate​s

• If you do not have a bachelor's degree, please view our list of  undergraduate programs .
• Students with other backgrounds will be considered based on their interest, formal education, and work experience.

For specific application requirements, visit  our admissions for online programs  page.

See all the events and webinars that the Graduate Studies team are hosting and attending.

View the Calendar

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Robotics and Systems Engineering

School of Science, Engineering and Environment

Blended Delivery

In a nutshell

Automation for the Food Industry Research

The food industry is very labour intensive and as a result is under threat from low wage economies. To allow companies to remain competitive they need to embrace automation. Led by Dr Steve Davis you will learn how many of the challenges found in the food industry cannot be addressed by conventional automation and how advanced systems and grippers are required.      

Cognition Robotics and Autonomous Systems

We use the term "cognitive robotics" to refer to robots with higher level cognitive functions that involve knowledge representation and reasoning.

You will work on robots with cognitive capabilities, which are key elements to autonomous systems, such as perception processing, attention allocation, anticipation, planning, reasoning about other agents, and perhaps reasoning about their own mental states. Several projects are currently undertaken in this area in collaboration with psychologists and neuroscientist from European institutions. This course is led by Prof. S. Nefti-Meziani and Dr T. Theodoridis.  

Biologically Inspired Robotics Research

Dr Steve Davis leads this research which covers all areas of biologically inspired robotics. Future robots will move away from operating solely in factories and will interact more closely with humans. This will require a more natural/biological-like human-machine interaction. You will work with new design approaches and learn how they will shape future robotic systems. You will learn how traditional actuators have many shortcomings and how compliance can greatly improve the safety of human robot interaction, and also how these technologies have application in healthcare and rehabilitation applications.  

End-effectors and robot hands

Also led by Dr Steve Davis, this research area is concerned with the development of advanced end effectors. You will learn how innovative approaches can be used to grasp difficult to handle products. This course will also teach you how multi-fingered dexterous end-effectors, similar to the human hand, can handle a broad range of products, and how these technologies can be used in tele-presence tasks.  

Swarm Intelligence and Multi-Agent Systems

This research theme, as led by Prof. S. Nefti Meziani and Dr T. Theodoridis, concerns the development of an Intelligent Collaborative Behaviour using Multi-Agent Systems/robots using novel swarm intelligent techniques. We have introduced the irrationality theory applied in path planning, obstacle avoidance and emergent behaviours, using the Khepera robots (K-Team) and the Webots simulator.  

You will study and implement intelligent algorithms, which can be used for simulating viscoelastic behaviours for particle systems. Other relevant areas you can be involved in are crowd behaviour modelling, space and security robotics, and swarm and cognitive agents.  

Uninhabited Autonomous Systems/Air Vehicles (UAS/UAV)

Prof. S. Nefti Meziani, Dr A. Jones, and Dr E. Chadwick lead the research into how uninhabited autonomous systems (UAS) cope with unscripted procedures when conducting a mission where commands are issued at high levels of abstraction. It is designed around human-centric needs with the ability to perform tasks in accordance with instructions which lack adequate 'terms of reference'. You will work in autonomous systems that involve humans-in-the-loop.

• Research the fields of robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning
• Undertake research around an area from your own profession and develop solutions that can be implemented in the workplace
• Earn a doctorate-level degree to take you further in your current career or provide a gateway into a research career

students accepted

All about the course

Robotics and systems engineering postgraduate research is available in a range of pathways:

Master by Research (MSc) One year full-time Two years part-time

Master of Philosophy (MPhil) One year full-time Two years part-time

Doctor of Philosophy (PhD) Three years full-time Five years part-time

Please note that it may not be possible to deliver the full list of options every year as this will depend on factors such as how many students choose a particular option. Exact modules may also vary in order to keep content current. When accepting your offer of a place to study on this programme, you should be aware that not all optional modules will be running each year. Your tutor will be able to advise you as to the available options on or before the start of the programme. Whilst the University tries to ensure that you are able to undertake your preferred options, it cannot guarantee this.

What you need to know

Entry requirements.

A minimum of a 2:1 Honours degree or equivalent in a numerate subject such as Engineering, Science, Mathematics or Computer Science. You should be able to demonstrate the use of structured programming language such as C.

International students will require IELTS 6.5 or equivalent English Language Qualification.

APPLICANT PROFILE

You should have a first degree that provides a foundation in the areas of computer science or engineering. Candidates with a Bachelors and a Masters degree in one of the following areas will be preferred: robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning. Experience of experimental research involving statistical analyses of experimental results on the basis of measuring system performance is preferable but is not essential.  

You will be assigned a supervisory team to help guide and mentor you throughout your postgraduate research and studies. However, you are ultimately expected to take responsibility for managing your learning and will be expected to initiate discussions, ask for the help that you need, and be proactive in your approach to study.  

All students must attend an interview.

INTERNATIONAL STUDENTS - ACADEMIC TECHNOLOGY APPROVAL SCHEME (ATAS)

International Students are required by the Home Office and/or the Foreign & Commonwealth Office (FCO) to apply for an Academic Technology Approval Scheme (ATAS) Certificate before they begin studying their course. You might  need to obtain an ATAS Certificate before you come to the UK in order for you to comply with Home Office regulations. Please refer to your offer conditions.

You can find out if your programme requires an ATAS by checking the FCO website with your JACS code which will be on your offer letter should you choose to make an application. If you cannot find it please contact International Conversion team at  [email protected] . If you have any queries relating directly to ATAS please contact the ATAS team on  [email protected] .

You can apply for your ATAS Certificate via this link:  https://www.academic-technology-approval.service.gov.uk/

Entry requirements

As a postgraduate research student, you will need to pay annual tuition fees. These vary according to the programme you are studying. Both we and other organisations offer a range of scholarships and discounts to postgraduate research students.

More information about fees and funding .

Additional costs

You should consider further costs which may include books, stationery, printing, binding and general subsistence on residential travel and accommodation visits.

All set? Let's apply

Enrolment dates.

September 2024

January 2025

September 2025

Suggestions or feedback?

MIT News | Massachusetts Institute of Technology

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MIT engineers design flexible “skeletons” for soft, muscle-powered robots

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Our muscles are nature’s perfect actuators — devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.

For these reasons, engineers are exploring ways to power robots with natural muscles. They’ve demonstrated a handful of “biohybrid” robots that use muscle-based actuators to power artificial skeletons that walk, swim, pump, and grip. But for every bot, there’s a very different build, and no general blueprint for how to get the most out of muscles for any given robot design.

Now, MIT engineers have developed a spring-like device that could be used as a basic skeleton-like module for almost any muscle-bound bot. The new spring, or “flexure,” is designed to get the most work out of any attached muscle tissues. Like a leg press that’s fit with just the right amount of weight, the device maximizes the amount of movement that a muscle can naturally produce.

The researchers found that when they fit a ring of muscle tissue onto the device, much like a rubber band stretched around two posts, the muscle pulled on the spring, reliably and repeatedly, and stretched it five times more, compared with other previous device designs.

The team sees the flexure design as a new building block that can be combined with other flexures to build any configuration of artificial skeletons. Engineers can then fit the skeletons with muscle tissues to power their movements.

“These flexures are like a skeleton that people can now use to turn muscle actuation into multiple degrees of freedom of motion in a very predictable way,” says Ritu Raman, the Brit and Alex d'Arbeloff Career Development Professor in Engineering Design at MIT. “We are giving roboticists a new set of rules to make powerful and precise muscle-powered robots that do interesting things.”

Raman and her colleagues report the details of the new flexure design in a paper appearing today in the journal Advanced Intelligent Systems. The study’s MIT co-authors include Naomi Lynch ’12, SM ’23; undergraduate Tara Sheehan; graduate students Nicolas Castro, Laura Rosado, and Brandon Rios; and professor of mechanical engineering Martin Culpepper.

Muscle pull

When left alone in a petri dish in favorable conditions, muscle tissue will contract on its own but in directions that are not entirely predictable or of much use.

“If muscle is not attached to anything, it will move a lot, but with huge variability, where it’s just flailing around in liquid,” Raman says.

To get a muscle to work like a mechanical actuator, engineers typically attach a band of muscle tissue between two small, flexible posts. As the muscle band naturally contracts, it can bend the posts and pull them together, producing some movement that would ideally power part of a robotic skeleton. But in these designs, muscles have produced limited movement, mainly because the tissues are so variable in how they contact the posts. Depending on where the muscles are placed on the posts, and how much of the muscle surface is touching the post, the muscles may succeed in pulling the posts together but at other times may wobble around in uncontrollable ways.

Raman’s group looked to design a skeleton that focuses and maximizes a muscle’s contractions regardless of exactly where and how it is placed on a skeleton, to generate the most movement in a predictable, reliable way.

“The question is: How do we design a skeleton that most efficiently uses the force the muscle is generating?” Raman says.

The researchers first considered the multiple directions that a muscle can naturally move. They reasoned that if a muscle is to pull two posts together along a specific direction, the posts should be connected to a spring that only allows them to move in that direction when pulled.

“We need a device that is very soft and flexible in one direction, and very stiff in all other directions, so that when a muscle contracts, all that force gets efficiently converted into motion in one direction,” Raman says.

As it turns out, Raman found many such devices in Professor Martin Culpepper’s lab. Culpepper’s group at MIT specializes in the design and fabrication of machine elements such as miniature actuators, bearings, and other mechanisms, that can be built into machines and systems to enable ultraprecise movement, measurement, and control, for a wide variety of applications. Among the group’s precision machined elements are flexures — spring-like devices, often made from parallel beams, that can flex and stretch with nanometer precision.

“Depending on how thin and far apart the beams are, you can change how stiff the spring appears to be,” Raman says.

She and Culpepper teamed up to design a flexure specifically tailored with a configuration and stiffness to enable muscle tissue to naturally contract and maximally stretch the spring. The team designed the device’s configuration and dimensions based on numerous calculations they carried out to relate a muscle’s natural forces with a flexure’s stiffness and degree of movement.

The flexure they ultimately designed is 1/100 the stiffness of muscle tissue itself. The device resembles a miniature, accordion-like structure, the corners of which are pinned to an underlying base by a small post, which sits near a neighboring post that is fit directly onto the base. Raman then wrapped a band of muscle around the two corner posts (the team molded the bands from live muscle fibers that they grew from mouse cells), and measured how close the posts were pulled together as the muscle band contracted.

The team found that the flexure’s configuration enabled the muscle band to contract mostly along the direction between the two posts. This focused contraction allowed the muscle to pull the posts much closer together — five times closer — compared with previous muscle actuator designs.

“The flexure is a skeleton that we designed to be very soft and flexible in one direction, and very stiff in all other directions,” Raman says. “When the muscle contracts, all the force is converted into movement in that direction. It’s a huge magnification.”

The team found they could use the device to precisely measure muscle performance and endurance. When they varied the frequency of muscle contractions (for instance, stimulating the bands to contract once versus four times per second), they observed that the muscles “grew tired” at higher frequencies, and didn’t generate as much pull.

“Looking at how quickly our muscles get tired, and how we can exercise them to have high-endurance responses — this is what we can uncover with this platform,” Raman says.

The researchers are now adapting and combining flexures to build precise, articulated, and reliable robots, powered by natural muscles.

“An example of a robot we are trying to build in the future is a surgical robot that can perform minimally invasive procedures inside the body,” Raman says. “Technically, muscles can power robots of any size, but we are particularly excited in making small robots, as this is where biological actuators excel in terms of strength, efficiency, and adaptability.”

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Press mentions.

MIT researchers have developed a new type of spring-like device that uses a flexible element to help power biohybrid robots, reports Brian Heater for TechCrunch . “The muscle fiber/flexure system can be applied to various kinds of robots in different sizes,” Heater writes, adding that the researchers are, “focused on creating extremely small robots that could one day operate inside the body to perform minimally invasive procedures.”

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2025 Best Graduate Schools

Article by UDaily Staff Photo by Evan Krape April 09, 2024

UD programs remain among the best in the nation, according to U.S. News and World Report

In the 2025 edition of Best Graduate Schools , U.S. News and World Report ranked the University of Delaware's graduate programs among the best in the nation.

“As we continue to enhance and expand our excellent graduate programs to meet the needs of our students and society, it is gratifying to see the expertise and hard work of our faculty and staff nationally recognized,” said UD President Dennis Assanis. “We are proud of the positive impact that our graduate students are making on the world, and we look forward to even greater successes ahead empowered by their UD education.”     

UD’s consistently top-ranked physical therapy program remained in the top three nationwide. This is the first year U.S. News and World Report ranked speech-language pathology programs with UD’s inaugural ranking at #32.

“Excellent graduate preparation is central to the University of Delaware's mission as a world-class research institution," said Louis Rossi, dean of UD’s Graduate College and vice provost for graduate and professional education. "Our graduate programs are producing the thinkers, leaders and innovators who are tackling the world's greatest challenges. We are excited about these rankings, which indicate their excellence."

Physical Therapy, 2

Non-profit Management, 16 (up from 23)

Public Management and Leadership, 18 (up from 23)

Public Finance and Budgeting, 21

Speech-Language Pathology, 32

Education Schools, 34

Public Affairs Schools, 34

Computer Science, 70 (up from 77)

Nursing: Master's, 79 (up from 82)

Nursing: Doctor of Nursing Practice, 110

Part-Time MBA, 150

The preceding list only includes subject areas evaluated in this year's edition published to date. U.S. News and World Report has delayed the announcement of two programs that were slated to be included in the rankings: Best Engineering Schools and Programs, and Best Clinical Psychology Programs. The lists will be updated as soon as the data are available.

Other UD graduate programs have been ranked in previous years. The full listing of UD graduate programs ranked by U.S. News and World Report is available on the Institutional Research and Effectiveness Rankings  webpage . Please note the programs and specialties used by U.S. News might vary slightly from the names of degree programs used by UD.

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These are the best graduate school programs in Wisconsin, according to U.S. News & World

Top graduate schools in Wisconsin landed on the latest U.S. News & World Report list ranking more than 2,000 programs across the country. U.S. News & World Report published its 2024-'25 report in April, ranking graduate programs in business, education, law and nursing, among other fields.

University of Wisconsin-Madison's the School of Education tied for first overall with Teacher's College, Columbia University, according the report. That's up from third overall and second among public universities last year.

Several of Marquette University's graduate programs moved up on the list, including the master's program in the College of Nursing, which moved up from 66 to 58.

Schools were evaluated based on expert opinion and statistical data measuring the quality of the school's faculty, research and post-graduate outcomes. You can find the full list on the U.S. News website for graduate rankings on their website www.usnews.com/best-graduate-schools .

Top business graduate programs in Wisconsin:

• University of Wisconsin-Madison: #43

Top law graduate programs in Wisconsin:

• University of Wisconsin-Madison: #36 (tie)
• Marquette University: #68 (tie)

Top nursing graduate programs in Wisconsin:

• Marquette University: #58 (tie)
• University of Wisconsin-Milwaukee: #82 (tie)
• University of Wisconsin-Eau Claire: #107 (tie)
• University of Wisconsin- Oshkosh: #118
• Alverno College: #119 (tie)
• Milwaukee School of Engineering: #153-169

Top medical graduate programs in Wisconsin:

• University of Wisconsin-Madison: #35 (tie)

Top education graduate programs in Wisconsin:

• University of Wisconsin-Madison: #1 (tie)
• University of Wisconsin-Milwaukee: #169 (tie)
• Marquette University: #192

Top Engineering graduate programs in Wisconsin:

• University of Wisconsin-Madison: #27 (tie)
• Marquette University: #142 (tie)
• University of Wisconsin-Milwaukee: #177 (tie)

RELATED: Here's how Wisconsin universities ranked in the 2024 Best Colleges list