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Computer Engineering

Certificate
Overview
Application Requirements
Faculty
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Application Deadlines
Fall: Jun 1
Spring: Dec 15 (Domestic applicants only)
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
Varies

Overview

Students in the Computer Engineering certificate program gain foundational knowledge in connected systems, networking applications, and computer architecture.

Program Highlights

Hone your skills in the analysis, design, and operation of computing devices and software, with over fifteen credit hours of coursework. At least five lecture-based courses must be taken from a published list of computer engineering core courses. From these core courses, at least one course must be taken from each of the following three core areas:

  • Computer Networking
  • Computer Architecture
  • Computer Software/Systems

The program is jointly administered between the Department of Electrical and Computer Engineering and Department of Computer Science.

Career Outcomes

The program incorporates research and teaching across disciplines to provide students with a well-rounded approach to this dynamic field. Students learn a unique perspective on how electrical and computer technology can be used to solve important human problems. With expert faculty, cutting-edge research, and innovative facilities, students are given the opportunity and resources to make significant contributions to the field and become leaders in industry, government, and academia.

Application Requirements

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • One letter of recommendation
  • 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.

Faculty

faculty photo

Soha Hassoun

Professor
Computer Science
Machine Learning; Systems Biology; Metabolic Engineering, computer-aided design for integrated circuits
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

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

Alva Couch

Associate Professor
Computer Science
data science, software systems engineering, performance analysis, system, network, and data management
faculty photo

Lenore Cowen

Professor
Computer Science
computational molecular biology, data science, graph algorithms, network science, discrete mathematics
faculty photo

Marco Donato

Assistant Professor
Electrical and Computer Engineering
emerging technologies, non-volatile memories, SoC design, hardware for machine learning, noise modeling and reliability
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

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

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