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Electrical Engineering

Master's
Overview
Application Requirements
Career Outcomes
Faculty
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Application Deadlines
Fall: Jan 15
Spring: Sep 15
Summer: n/a
School/Department
Electrical and Computer Engineering
Contact
gradadmissions@tufts.edu
Location
Medford/Somerville
Format
On-campus
Commitment Options
Full-time
Part-time (Daytime)
Average Duration
12 - 24 months
Credits
30

Overview

With expert faculty, cutting-edge research, and innovative facilities, electrical engineering master's students at Tufts have the opportunity and resources to make significant contributions to the field and become leaders in industry, government, and academia.

Program Highlights

With vibrant research exploring fields from power-aware computing, nano- and opto-electronics, and photonics to information theory, machine learning, and robotics and control systems, there is something for everyone in our electrical engineering program.

Our students and faculty members work with colleagues in the School of Medicine and the School of Arts and Sciences‚ and collaborate across departments in the School of Engineering, focusing on strategic research areas such as human health and bioengineering, intelligent systems, and the interactions between technology and people.

Earn your master's in electrical engineering with a focus on any of these research areas:

  • Control, energy systems, and robotics
  • Electro-optical materials and renewable energy
  • Integrated circuits and VLSI
  • Microfabrication, nanotechnology, and sensors
  • Networks and information theory
  • Signal and image

Graduate Cooperative Education (Co-Op) Program

The School of Engineering's Graduate Cooperative Education (Co-Op) Program provides students with the opportunity to apply the theoretical principles they have learned in their coursework to real-world engineering projects. Gain up to six months of full-time work experience, build your resume, and develop a competitive advantage for post-graduation employment. Learn more about the Co-Op Program.

Program Outcomes

Tufts electrical engineers go on to great things. Some are entrepreneurs, founding or working at start-ups. Others are pursuing careers at some of the world's leading technology companies, like Google, Amazon Robotics, Fitbit, Nest, and Intel, or have used their engineering education in different industries altogether, going to work for Fidelity Investments and the New York Stock Exchange.

The master's program in electrical engineering also prepares students for doctoral study within the electrical and computer engineering program.

Application Requirements

Applicants to the master's program in electrical engineering are expected to have a degree at the level of a bachelor's in electrical or computer engineering, or a related discipline such as computer science, physics, or mathematics.

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • Three letters of Recommendation
  • Official GRE scores
    • GRE General Test scores not required for applicants who will have received a degree from a U.S. institution by time of enrollment. GRE scores required for all other applicants.
  • Official TOEFL, IELTS, or Duolingo test scores if applicable

Tuition and Financial Aid

We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions about tuition rates and scholarship opportunities.

Please contact us at gradadmissions@tufts.edu.

Career Outcomes

A researcher points to AI models used to detect elephants in video streams

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.

Faculty

faculty photo

Thomas Vandervelde

Professor and Chair of Electrical and Computer Engineering
Electrical and Computer Engineering
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.
faculty photo

Shuchin Aeron

Associate Professor
Electrical and Computer Engineering
data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing
faculty photo

Steven Bell

Associate Teaching Professor
Electrical and Computer Engineering
Engineering education, embedded systems, camera systems and computational photography
faculty photo

Chorng Chang

Associate Professor
Electrical and Computer Engineering
Computer architecture, parallel processing, computer networking, hardware description languages, simulation and programmable logic design, engineering education.
faculty photo

Dante DeMeo

Research Assistant Professor
Electrical and Computer Engineering
thermophotovoltaics, optoelectronics, energy harvesting, nanofabrication
faculty photo

Mark Hempstead

Professor
Electrical and Computer Engineering
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
faculty photo

Usman Khan

Professor
Electrical and Computer Engineering
Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
faculty photo

Valencia Koomson

Associate Professor
Electrical and Computer Engineering
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
faculty photo

Sunil Kumar

President, Tufts University and Professor, Electrical and Computer Engineering
President's Office
Performance evaluation and control of manufacturing systems, service operations, and communications networks, Optimization methods and control theory
faculty photo

Ron Lasser

Professor of the Practice
Electrical and Computer Engineering
digital image processing, computer animation, swarm robotics, innovation, engineering method & design
faculty photo

Eric Miller

Professor
Electrical and Computer Engineering
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.
faculty photo

Aseema Mohanty

Clare Boothe Luce Assistant Professor
Electrical and Computer Engineering
nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/
faculty photo

Karen Panetta

Professor and Dean of Graduate Education
Electrical and Computer Engineering
Signal processing; image processing; simulation modeling
faculty photo

Paul Simmonds

Associate Professor
Electrical and Computer Engineering
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
faculty photo

Sameer Sonkusale

Professor
Electrical and Computer Engineering
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
faculty photo

Mai Vu

Professor
Electrical and Computer Engineering
machine learning, applied optimization, wireless communications and networks, 5G/6G systems and techniques

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