The Certificate in Computer Engineering at Tufts University is a 15-credit graduate certificate focused on the analysis, design, and operation of computing devices and systems. Students build knowledge across computer networking, computer architecture, and computer software and systems, developing an understanding of how hardware and software work together in connected computing environments.
The program is jointly administered by the Department of Electrical and Computer Engineering and the Department of Computer Science. It is offered on campus in Medford/Somerville through full-time or part-time study and may be completed in 12 to 24 months.
The Certificate in Computer Engineering is designed for motivated students and professionals with a bachelor’s degree in any discipline and appropriate mathematics and science preparation who want focused graduate study in computing systems.
This program may be a strong fit for applicants who want to:
Students whose undergraduate preparation did not cover core computer engineering topics may be advised to complete bridge coursework.
Bridge courses may be recommended for students who need additional preparation in machine-centric programming, data structures and algorithms, digital systems, or computer architecture. Depending on their preparation and academic plan, students may also study topics such as:
The Certificate in Computer Engineering is jointly administered by the Department of Electrical and Computer Engineering and the Department of Computer Science at Tufts University School of Engineering.
Electrical and computer engineering connects hardware, software, communications, sensing, and intelligent systems. Through the joint program structure, certificate students study computing systems from perspectives that include architecture, networking, software, embedded technologies, and digital design.
The certificate brings together coursework in electrical and computer engineering and computer science. Students can build an integrated understanding of computing devices, system architecture, networks, and software rather than studying these areas in isolation.
Students complete coursework across computer networking, computer architecture, and computer software and systems. This structure helps students develop a foundation in the major technical areas that shape modern computing platforms and connected devices.
Students whose prior academic preparation does not include key computer engineering topics may take bridge coursework in programming, data structures, algorithms, digital systems, and computer architecture. This provides a pathway for students entering the field from different academic backgrounds.
Tufts’ Medford/Somerville campus places students near the technology, engineering, research, and innovation communities of Greater Boston. Students pursue graduate engineering study within a research university environment while building focused technical expertise.
The Certificate in Computer Engineering can support students and professionals who want to strengthen their knowledge of computing systems, hardware and software integration, and connected technologies.
Students may use this credential to build preparation relevant to areas such as:
Students whose undergraduate preparation did not include core computer engineering topics may be advised to complete bridge coursework in programming, data structures and algorithms, digital systems, or computer architecture.
Students study computer networking, computer architecture, and computer software and systems. Coursework may also address embedded systems, cloud computing, security, parallel computing, digital design, machine learning, or algorithms.
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 for Systems Biology; Metabolic Engineering, computer-aided design for integrated circuits
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: data science, software systems engineering, performance analysis, system, network, and data management
Research/Areas of Interest: computational molecular biology, data science, graph algorithms, network science, discrete mathematics
Research/Areas of Interest: emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
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: trusted AI, hardware security, electronic design automation, VLSI architectures for machine learning and emerging cryptographic systems, and AI for healthcare and biomedical applications.
Research/Areas of Interest: Scientific machine learning: physics-informed ML, representation learning, generative modeling, interpretability; Complex systems: nonlinear dynamics, chaos, interacting quantum systems, materials science, fluid turbulence Website: https://petery.lu
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: (opto)electronics and photonics, compound semiconductors, emerging materials, epitaxial growth, hetero- and nano-structures, applications in sensing, integrated photonics, and quantum information systems