The M.S. in Mechanical Engineering at Tufts University is a 30-credit master’s program that helps students strengthen their technical foundation and build advanced expertise in mechanical engineering. Students may study areas such as robotics, thermal-fluid systems, advanced manufacturing, materials, controls, human-centered engineering, micro and nanoscale systems, and engineering design.
Offered by the Department of Mechanical Engineering, the program is based on the Medford/Somerville campus and is delivered in an on-campus format. Students may pursue the degree full-time or part-time, with an average completion time of 12 to 24 months.
The M.S. in Mechanical Engineering is designed for students who want advanced preparation for engineering practice, research and development, doctoral study, technical leadership, or interdisciplinary work involving mechanical systems.
The program may be a strong fit for students with academic backgrounds in mechanical engineering, engineering science, applied science, physics, mathematics, robotics, materials, manufacturing, or related technical fields. Students can shape their study around interests such as design, robotics, energy, fluids, mechanics, materials, biomedical systems, manufacturing, or human-centered engineering.
Students build graduate-level knowledge in mechanical engineering while developing a personalized path of study. Students do not declare a thesis or non-thesis option when applying. After matriculation, students may select a thesis option with the support of a faculty advisor. Non-thesis degrees may be completed in one academic year of full-time study, while thesis and non-thesis degrees may also be pursued part time.
Coursework and research opportunities may address topics such as:
The Department of Mechanical Engineering at Tufts supports graduate study and research across a broad range of mechanical engineering fields, including robotics, human factors, materials, manufacturing, thermal-fluid systems, design, micro/nanoscale systems, biomechanics, and human-robot interaction.
Faculty research includes areas such as soft-bodied robots, superconducting materials, cell swimming at the microscale, airspace systems, fluid mechanics, advanced manufacturing, materials science, robotics, human-machine systems, engineering education, and bioengineering applications. Students benefit from small classes, faculty mentorship, and opportunities to engage with interdisciplinary research across the School of Engineering.
Students can build a path of study aligned with their technical interests and goals. The program supports both thesis and non-thesis options, allowing students to pursue research preparation, advanced coursework, or professional engineering development.
Graduate students learn in small classes and may work closely with faculty whose research spans robotics, materials, fluids, manufacturing, human factors, biomechanics, design, and micro/nanoscale systems. This mentorship can support students preparing for industry, research, or doctoral study.
Mechanical engineering at Tufts connects with fields such as robotics, human-robot interaction, biomedical engineering, materials science, data science, manufacturing, and human-centered design. Students can explore how mechanical engineering contributes to emerging technologies and real-world systems.
Tufts’ Medford/Somerville campus is located near Boston and Cambridge, giving students access to a major engineering, technology, healthcare, research, and innovation ecosystem. Students benefit from proximity to employers, laboratories, startups, universities, and professional networks.
Graduates may pursue engineering, research, design, manufacturing, or technical roles in areas such as mechanical engineering, robotics, product design, aerospace, energy systems, thermal-fluid systems, materials, biomedical devices, automation, transportation, consulting, and technical project work. Career outcomes vary based on a student’s background, focus area, thesis or non-thesis pathway, technical experience, internship or co-op experience, and professional goals.
Possible paths may include:
Mechanical engineering skills are relevant across product design, manufacturing, robotics, energy, aerospace, automotive systems, materials, and research and development.
According to the U.S. Bureau of Labor Statistics, mechanical engineers had a median annual wage of $102,320 in May 2024. Employment in this occupation is projected to grow 9 percent from 2024 to 2034, much faster than the average for all occupations.
Average Salary: $99K+
Projected Job Growth (2022-2032): 10%
*Sources: Average salary and projected job growth statistics are from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook.
Eligible M.S. in Mechanical Engineering 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 projects, gain up to six months of full-time work experience, build a resume, and develop professional connections.
Applicants should have a strong academic background in mechanical engineering or a related technical discipline.
No. Applicants do not choose a thesis or non-thesis option when applying. After enrolling, students may select a thesis option with the support of a faculty advisor.
No. GRE General Test scores are not required for the M.S. in Mechanical Engineering.
Yes. Prospective students may attend admissions events, information sessions, or campus visit opportunities to learn more about Tufts graduate programs and the application process. Visit go.tufts.edu/gradevents for the event schedule and previously recorded videos.
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: navigation, safety-critical transportation systems, state estimation, human-robot interaction
Research/Areas of Interest: Fluid dynamics, turbulence, reduced modeling of complex systems, dynamical systems theory, chaotic mixing, microfluidics, electrohydrodynamics, manipulation and assembly of nanoscale particles in microfluidics, biofluids
Research/Areas of Interest: sustainable energy, superconducting materials, materials science
Research/Areas of Interest: Ryan's research lies at the intersection of control theory, machine learning, and robotics, with the goal of enabling provably safe and dynamic robot autonomy in uncertain real-world settings. His work bridges theory and practice through the development of risk-aware control frameworks, efficient deployable algorithms, and validation on a wide range of robot platforms. His ultimate goal is to create safety methods that inspire trust and provide us with the confidence needed to deploy high-performance autonomous robots at scale. **Recruiting new PhD students for admission in Fall 2026.**
Research/Areas of Interest: biophysics and soft matter, microscale fluid mechanics and transport phenomena, microfluidic devices
Research/Areas of Interest: human factors, airspace systems
Research/Areas of Interest: Engineering education; Diversity, equity, and inclusion; team-based engineering pedagogies; engineering design thinking
Research/Areas of Interest: Transport Phenomena in the context of superhydrophobic surfaces, nano-material manufacture, thermal management of electronics, energy harvesting, mass transfer in supercritical fluids and thermoelectricity.
Research/Areas of Interest: Human Factors Engineering, Innovation, Design Thinking, AI-powered Innovation and R&D, Human Machine System Design, Robotics, Machine Learning, Perception, Psychology
Research/Areas of Interest: Mechanics of materials; effective properties of heterogeneous materials; microstructure-property relationships; applications to material science
Research/Areas of Interest: Fluid mechanics, flow in the human body, hemodynamics, aneurysms, heart development, flow in tumors, cardiac assist devices
Research/Areas of Interest: Hungtang Ko's research focuses on the collective organization of biological collectives and robot swarms in fluid environments. He conducts animal experiments, simulates agent-based models, and designs biomimetic robots to investigate the physical interaction among insect swarms and fish schools. Beyond his core research, his diverse research interests extend to traffic flow, animal biomechanics, and the physics of wok tossing. **Recruiting new PhD students for admission in Fall 2026**
Research/Areas of Interest: biomechanics, applied mechanics, materials characterization, engineering education
Research/Areas of Interest: machine design, nondestructive testing
Research/Areas of Interest: solidification processes, thermal manufacturing, machine design, materials science
Research/Areas of Interest: Pushing towards his vision of rapidly designing robots and materializing them at points of impact, Prof. Nemitz's research interests encompass 3D-printable robots, real-time adaptive additive manufacturing, and automated discovery processes for robotic materials.
Research/Areas of Interest: Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
Research/Areas of Interest: materials engineering, materials science, manufacturing processes, quality control
Research/Areas of Interest: Present: Engineering for Health -> Physics of cancer and aging -> Mechanics of biomaterials at the nanoscale, Synthesis and study of functional nanomaterials for biomedical imaging and drug delivery, Advanced imaging for medical diagnostics, Novel processes and materials for dentistry: nano-polishing and self-healing materials. Favorite experimental techniques: atomic force microscopy/scanning probe microscopy, confocal microscopy and spectroscopy, nanoindenters. Favorite theoretical methods: contact models, machine learning methods. Past: quantum field theory, theory of gravity, cosmology, Casimir effect.
Research/Areas of Interest: learning sciences, engineering education, design practices, classroom discourse, engineering knowledge construction
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.
Research/Areas of Interest: human factors
Research/Areas of Interest: novel polymer electrolytes for batteries, liquid crystal polymers, composite materials, materials science