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