The M.S. in Human-Robot Interaction at Tufts University is a 30-credit master’s program that prepares students to study, design, and evaluate the ways people interact with intelligent autonomous systems. The program brings together engineering, computer science, robotics, artificial intelligence, human-centered design, and the social dimensions of emerging technology.
Human-Robot Interaction is offered through three departments: Computer Science, Electrical and Computer Engineering, and Mechanical Engineering. Students share a common set of five required core courses, then complete additional coursework approved by their respective department. The program is offered on the Medford/Somerville campus in an on-campus format, with full-time and part-time options. Students typically complete the degree in 12 to 24 months.
The M.S. in Human-Robot Interaction is designed for students who want to work at the intersection of robotics, artificial intelligence, engineering, computer science, design, and human behavior. The program may be a strong fit for students interested in collaborative robotics, assistive technology, human-centered AI, robotics research, machine learning, perception, autonomous systems, accessibility, human-computer interaction, or the social and ethical questions raised by intelligent machines.
Applicants may choose the Computer Science, Electrical and Computer Engineering, or Mechanical Engineering pathway based on their academic background, technical preparation, and professional goals.
Students build an interdisciplinary foundation in human-robot interaction while developing technical depth through one of three departmental pathways. All students share a set of five required core courses, then focus on classes approved by their respective department.
Students may study topics such as:
The M.S. in Human-Robot Interaction is offered through three Tufts School of Engineering departments: Computer Science, Electrical and Computer Engineering, and Mechanical Engineering. This interdisciplinary structure gives students access to faculty and coursework across AI, robotics, machine learning, signal processing, controls, human-computer interaction, mechanical systems, perception, navigation, and human-centered design.
Faculty expertise connected to the program includes artificial intelligence, cognitive modeling, natural language understanding, human-robot interaction, human-computer interaction, multi-agent systems, assistive robotics, human-in-the-loop machine learning, developmental robotics, computational perception, navigation, safety-critical transportation systems, statistical signal processing, and engineering education.
Human-robot interaction at Tufts brings together computer science, electrical and computer engineering, mechanical engineering, robotics, AI, human-centered design, and social science. Students learn to examine not only how robots function, but how people understand, trust, collaborate with, and are affected by intelligent systems.
Graduate students have opportunities to work closely with faculty whose research spans human-robot interaction, artificial intelligence, robotics, accessibility, machine learning, perception, cognition, signal processing, navigation, and human-computer interaction. This mentorship can support students preparing for research, industry, or doctoral study.
Students can choose the Computer Science, Electrical and Computer Engineering, or Mechanical Engineering pathway, allowing them to align the degree with their academic background and technical goals. Each pathway combines a shared HRI core with department-approved coursework.
Tufts’ Medford/Somerville campus is located near Boston and Cambridge, giving students access to a major technology, research, robotics, healthcare, and innovation ecosystem. Students benefit from proximity to employers, startups, universities, laboratories, and professional networks.
Graduates may pursue engineering, research, software, design, or technology-focused roles in areas such as robotics, artificial intelligence, human-robot interaction, machine learning, autonomous systems, assistive technology, human-computer interaction, user research, engineering design, and research and development. Career outcomes vary based on a student’s background, focus area, technical experience, research experience, internship or co-op experience, and professional goals.
Possible paths may include:
Human-robot interaction skills are relevant across robotics, artificial intelligence, human-centered design, autonomous systems, research, and advanced computing.
According to the U.S. Bureau of Labor Statistics, computer and information research scientists had a median annual wage of $140,910 in May 2024. Employment in this occupation is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations.
Average Salary: $145K+
Projected Job Growth (2022-2032): 23%
*Sources: Average salary and projected job growth statistics are from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook. The listed salary is for computer and information research scientists. Human-Robot Interaction salaries may differ.
Eligible M.S. in Human-Robot Interaction students may have the opportunity to participate in the School of Engineering Graduate Cooperative Education Program. The co-op can allow students to apply graduate coursework to real-world engineering, robotics, AI, or technology projects, gain up to six months of full-time work experience, build a resume, and develop professional connections.
The program is offered through Computer Science, Electrical and Computer Engineering, and Mechanical Engineering. These options are listed separately in the graduate admissions application.
The School of Engineering offers partial tuition scholarships for a select group of Engineering master’s and certificate programs. When you apply for admission, you’ll automatically be considered, there’s no separate scholarship application or additional information required. Applicants are encouraged to apply early for priority scholarship consideration.
GRE General Test scores are not required for applicants who will have received a degree from an institution located in the U.S. or Canada by the time of enrollment. GRE scores are required for all other applicants.
Applicants can apply online through Tufts Graduate Admissions Portal. Required materials typically include transcripts, a resume or CV, letters of recommendation, and a statement of purpose. International applicants may also need to submit English proficiency documentation. Visit the admissions page for current deadlines and application requirements.
At Tufts University, we believe every qualified applicant deserves the opportunity to pursue graduate study. We are dedicated to helping you understand your financial options and to ensuring that graduate education at Tufts is both accessible and within reach.
Tuition costs for this graduate program are billed at a per credit rate:
| Estimated Tuition for MS Program | |
|---|---|
| Tuition* | $1,799 per credit |
| Total Credits Required | 30 |
| Enrollment Status | Full-Time: 3-4 courses per semester (9-12 credits) Part-Time: 1-2 courses per semester (3-6 credits) |
| Estimated Tuition per Semester | Full-Time: $16,191 - $21,588 per semester (9-12 credits) Part-Time: $5,397 - $10,794 per semester (3-6 credits) |
| Estimated Total Tuition* | $53,970 |
*Estimated based on 2025-2026 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including additional fees and estimated indirect costs (housing, transportation, etc.), please visit Student Financial Services.
The Tufts University School of Engineering offers partial, merit-based tuition scholarships for the majority of our graduate and certificate programs. All applicants are automatically considered for these awards as part of our holistic admissions review process—no separate scholarship application or additional materials are required.
Additional funding opportunities may include Tufts Double Jumbo Scholarships for Tufts graduates, Bridge Program Scholarships for students and alumni from select partner institutions, and veteran and military education benefits for eligible service members and their dependents, including participation in the Yellow Ribbon Program.
To further support your investment in a Tufts graduate education, a range of financing options are available, including federal and private student loans. For more details, please visit our Graduate Financial Aid page.
Research/Areas of Interest: Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
Research/Areas of Interest: navigation, safety-critical transportation systems, state estimation, human-robot interaction
Research/Areas of Interest: Machine Learning, Statistical Signal Processing, Information Theory, Optimal Transport
Research/Areas of Interest: Cognition and Psycholinguistics
Research/Areas of Interest: human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
Research/Areas of Interest: Multi-Agent Systems; Goal and Plan Recognition; Human-Robot Interactions; Theory of Mind; Intelligent Disobedience
Research/Areas of Interest: Signal processing; image processing; simulation modeling
Research/Areas of Interest: Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
Research/Areas of Interest: human-robot interaction, accessibility, robotics, human-in-the-loop machine learning, assistive technology Applying human-centered design and disability community values to the development, deployment, and evaluation of AI and machine learning for robotics, including: human-centered human-in-the-loop machine learning; disability-friendly assistive robotics; autonomous HRI in groups, public spaces, and other human-human contexts; and accessibility and disability inclusion in robotics education and the computing research community.
Research/Areas of Interest: Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
Research/Areas of Interest: Microelectromechanical Systems (MEMS) fabrication, modeling, and testing. Particularly acoustic MEMS (microphones, ultrasound), and aerodynamic measurement technologies (skin friction sensors, aeroacoustic sensors). High altitude atmospheric sensing and acoustics for planetary science. Acoustics, vibrations, dynamics and controls. Electromechanical systems including robotics. Finite element methods and system modeling. Electronics for measurement. Mechanical measurements.