The M.S. in Electrical Engineering at Tufts University is a 30-credit master’s program that prepares students to work across areas such as energy systems, robotics, photonics, integrated circuits, signal processing, nanotechnology, sensors, networks, and information theory.
Offered by the Department of Electrical and Computer Engineering, the program gives students opportunities to build advanced technical expertise while engaging with faculty research in fields that shape modern computing, communications, health, energy, and intelligent systems. 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 Electrical Engineering is designed for students who want advanced preparation in electrical engineering, computer engineering, applied physics, signal processing, circuits, robotics, communications, energy, or related technical fields.
Applicants are expected to have preparation at the level of a bachelor’s degree in electrical engineering, computer engineering, or a related discipline such as computer science, physics, or mathematics. The program may be a strong fit for students preparing for engineering practice, research and development, doctoral study, technical leadership, or interdisciplinary work involving electrical and computer systems.
Students build graduate-level expertise in electrical engineering while focusing their study around research areas that match their goals.Students may also engage with interdisciplinary work connected to human health and bioengineering, intelligent systems, and interactions between technology and people.
Areas of focus may include:
The Department of Electrical and Computer Engineering at Tufts supports graduate education and research across electrical engineering, computer engineering, communications, sensing, energy, photonics, circuits, robotics, signal processing, embedded systems, and intelligent systems.
Faculty research spans areas such as power-aware computing, nano- and opto-electronics, photonics, information theory, machine learning, robotics, control systems, VLSI, semiconductor devices, biomedical circuits, wireless communications, quantum information systems, and signal and image processing. Students benefit from interdisciplinary connections across the School of Engineering, the School of Medicine, and the School of Arts and Sciences.
Electrical engineering students at Tufts study technologies that connect computing, energy, communications, robotics, health, sensing, and intelligent systems. This interdisciplinary environment helps students understand how electrical engineering contributes to both emerging technologies and real-world applications.
Students learn from faculty working across electrical and computer engineering fields, including photonics, nanotechnology, VLSI, embedded systems, biomedical devices, machine learning, wireless communications, signal processing, and robotics. Small classes and research-oriented study create opportunities for academic guidance and mentorship.
The program gives students access to research areas ranging from renewable energy and electro-optical materials to machine learning, signal processing, microfabrication, sensors, and control systems. These opportunities can support students preparing for doctoral study, advanced engineering practice, or research and development roles.
Tufts combines graduate-level engineering training with a collaborative research environment and strong connections across disciplines. The university is a member of the Association of American Universities (AAU) and is classified as an R1 institution, reflecting the highest level of research activity in the United States.
Graduates may pursue engineering, research, systems, hardware, or technology-focused roles in areas such as electrical engineering, electronics, signal processing, robotics, embedded systems, communications, renewable energy, photonics, semiconductor devices, integrated circuits, sensing, biomedical devices, and control systems. 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:
Electrical engineering skills are relevant across electronics, communications, power systems, semiconductors, robotics, manufacturing, and advanced technology development.
According to the U.S. Bureau of Labor Statistics, electrical engineers had a median annual wage of $118,780 in May 2024. Employment in this occupation is projected to grow 7 percent from 2024 to 2034, faster than the average for all occupations.
Average Salary: $109K+
Projected Job Growth (2022-2032): 5%
*Sources: Average salary and projected job growth statistics are from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook.
Eligible M.S. in Electrical 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 are expected to have preparation at the level of a bachelor’s degree in electrical engineering, computer engineering, or a related discipline such as computer science, physics, or mathematics.
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 a U.S. institution 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: Interaction of light with matter, physics of nanostructures and interfaces, metamaterials, material science, plasmonics, and surfactants, semiconductor photonics and electronics, epitaxial crystal growth, materials and devices for energy and infrared applications.
Research/Areas of Interest: Machine Learning, Statistical Signal Processing, Information Theory, Optimal Transport
Research/Areas of Interest: Engineering education, embedded systems, camera systems and computational photography
Research/Areas of Interest: computer architecture, computer systems, power-aware computing, embedded systems, mobile computing, computer systems for machine learning, workload characterization, quantum computing, learning sciences and computer systems for human subjects research
Research/Areas of Interest: design of silicon-based mixed-mode VLSI systems (analog, digital, RF, optical), analog signal processing, and optoelectronic system-on-chip modeling and integration for applications in optical wireless communication and biomedical imaging
Research/Areas of Interest: digital image processing, computer animation, swarm robotics, innovation, engineering method & design
Research/Areas of Interest: Statistical- and physics-based signal and image modeling and processing, tomographic image formation and object characterization, and inverse problems. Applications explored include human performance assessment, materials science, airport security, medical imaging, environmental monitoring and remediation, unexploded ordnance remediation, and automatic target detection and classification.
Research/Areas of Interest: nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/
Research/Areas of Interest: Signal processing; image processing; simulation modeling
Research/Areas of Interest: Experimental development of novel semiconductor nanostructures for quantum information sciences. Tailoring crystal symmetry and strain at the nanoscale to produce next generation optoelectronic devices. AREAS OF RESEARCH EXPERTISE • MBE growth, chamber maintenance, and system support. • Low-temperature, high-field magnetoresistance quantized carrier/spin transport (quantum Hall effects, Shubnikov-de Haas oscillations, 1D quantized conductance, 0.7 structure, etc.). • Atomic force microscopy (AFM), transmission electron microscopy (TEM), X-ray diffraction (XRD) and photoluminescence (PL), Raman spectroscopy, ellipsometry, Rutherford back scattering, etc. • Cleanroom-based micro/nanofabrication including photo- and e-beam-lithography, metallization, and device packaging
Research/Areas of Interest: Bioelectronics, Biomedical microdevices, Wearables, Ingestibles, Biomedical circuits and systems, micro and nano fabrication, lab-on-chip microsystems, global health and precision medicine, CMOS image sensors for scientific imaging, analog to information converters, analog computing, brain inspired machine learning, active metamaterial devices, circuits, and systems, terahertz devices and circuits
Research/Areas of Interest: machine learning, applied optimization, wireless communications and networks, 5G/6G systems and techniques
Research/Areas of Interest: (opto)electronics and photonics, compound semiconductors, emerging materials, epitaxial growth, hetero- and nano-structures, applications in sensing, integrated photonics, and quantum information systems