The Certificate in Microwave and Wireless Engineering at Tufts University is a five-course graduate certificate focused on the technologies used to design, analyze, and apply microwave and wireless communication systems. Students build knowledge in communications systems, microwave devices, radio-frequency and microwave circuits, antennas, radar, satellite communications, and related wireless technologies.
The program is offered on campus in Medford/Somerville through full-time or part-time study. Students typically complete the certificate in 12 to 24 months.
The Certificate in Microwave and Wireless Engineering is designed for applicants with a bachelor’s degree in electrical engineering or physics, or equivalent preparation that includes general physics and intermediate circuit theory.
This program may be a strong fit for applicants who want to:
Students complete five graduate courses that develop knowledge in microwave engineering, wireless communications, and related electrical engineering applications.
Students complete approved coursework in areas that may include:
Students may be able to substitute other relevant Tufts graduate courses with approval from the certificate faculty advisor. Through this coursework, students build knowledge in:
The Certificate in Microwave and Wireless Engineering is offered through the Department of Electrical and Computer Engineering at Tufts University School of Engineering. The department supports study and research across wireless communications, radio-frequency and optical systems, signal processing, sensing, embedded systems, circuits, intelligent systems, and related technologies.
Students study microwave and wireless engineering in a department with faculty expertise relevant to wireless communications and networks, 5G and 6G systems, radio-frequency and optical circuits, satellite and radar applications, signal processing, and high-frequency devices.
Students complete coursework in communications systems and microwave devices before expanding into advanced areas such as wireless communications, antennas, radar, satellite communications, radio-frequency circuits, and microwave integrated circuits.
The certificate emphasizes laboratory and project-based study, helping students connect microwave and wireless engineering concepts with the design, analysis, and evaluation of technical systems.
Tufts faculty expertise includes wireless communications and networks, 5G and 6G systems and techniques, optical wireless communication, radio-frequency circuits, microwave and terahertz devices, signal processing, and related engineering applications.
Students interested in continuing their education may be able to apply certificate coursework toward a Tufts master’s degree in electrical engineering, subject to admission and applicable academic policies.
The Certificate in Microwave and Wireless Engineering can support students and professionals who want focused knowledge in high-frequency electronics, communications, and wireless systems.
Students may use this credential to strengthen preparation relevant to areas such as:
The certificate covers communications systems, microwave devices and circuits, wireless communications, antennas, radar, radio-frequency integrated circuits, satellite communications, information theory, and computer-aided microwave circuit design.
Applicants should hold a bachelor’s degree in electrical engineering or physics, or have equivalent preparation that includes general physics and intermediate circuit theory.
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.
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.
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: emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
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: 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: 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, applied optimization, wireless communications and networks, 5G/6G systems and techniques