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Human-Computer Interaction

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
Computer Science
Contact
gradadmissions@tufts.edu
Location
Medford/Somerville
Format
On-campus
Commitment Options
Full-time
Part-time
Average Duration
12 - 24 months
Credits
4 courses

Overview

With hardware processing power increasing and software development techniques improving, the user interface is quickly becoming the key bottleneck in developing computer products that meet market needs. The Human-Computer Interactions Certificate Program helps students develop or enhance their user interface design and implementation skills.

This certificate is offered in collaboration with the Tufts Department of Psychology, the Department of Computer Science, and the Department of Occupational Therapy.

Program Highlights

Certificate students complete four courses including courses in engineering psychology, interface design, and computer programming.

The program is distinguished by the ability to work closely with faculty every step of the way. Students collaborate with and learn from some of the most renowned experts in the country, all while seamlessly transitioning from graduate studies to a full-time career.

Students interested in earning a graduate degree can often apply these certificate courses toward master's programs in computer science or human factors, or a PhD degree in computer science.

Career Outcomes

When the human-computer interface does not reflect the needs of the intended users, products fail in the marketplace and enormous sums of money are spent on documentation, help lines, and training courses to overcome the difficulties of running programs. Much of this difficulty can be avoided with proper attention to both the physical and psychological constraints of the user.

This certificate program to trains the next generation of computer programmers for tomorrow's complex programming challenges. Students graduate ready to take the next step in their careers as computer programmers, web designers, software engineers, human factors professionals, user interface designers, and more.

Application Requirements

The certificate program is open to individuals with at least a bachelor's degree.

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

Remco Chang

Professor
Computer Science
Data visualization, visual analytics, human-computer interaction, databases, computer graphics
faculty photo

Alva Couch

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

Daniel Hannon

Professor of the Practice
Mechanical Engineering
human factors, airspace systems
faculty photo

James Intriligator

Professor of the Practice
Mechanical Engineering
Human Factors Engineering, Innovation, Design Thinking, AI-powered Innovation and R&D, Human Machine System Design, Robotics, Machine Learning, Perception, Psychology
faculty photo

Robert Jacob

Professor
Computer Science
human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
faculty photo

Elaine Short

Clare Boothe Luce Assistant Professor
Computer Science
human-robot interaction, accessibility, robotics, human-in-the-loop machine learning, assistive technology Applying human-centered design and disability community values to the development, deployment, and evaluation of AI and machine learning for robotics, including: human-centered human-in-the-loop machine learning; disability-friendly assistive robotics; autonomous HRI in groups, public spaces, and other human-human contexts; and accessibility and disability inclusion in robotics education and the computing research community.
faculty photo

Matthias Scheutz

Karol Family Applied Technology Professor
Computer Science
Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
faculty photo

Jivko Sinapov

Associate Professor
Computer Science
Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
faculty photo

Holly Taylor

Moses Hunt Professor of Psychology
Psychology
Spatial Cognition, Language, Memory
faculty photo

Michael Wiklund

Professor of the Practice
Mechanical Engineering
human factors

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