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Human Factors in Data Science

Certificate
Overview
Application Requirements
Faculty
Related Programs
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Application Deadlines
Fall: Jun 1
Spring: Dec 15 (Domestic applicants only)
Summer: n/a
School/Department
Mechanical Engineering
Contact
gradadmissions@tufts.edu
Format
On-campus
Commitment Options
Full-time
Part-time (Daytime)
Average Duration
12 - 24 months
Credits
4 courses

Overview

As engineering solutions turn more and more toward automation and the use of AI, the need for practitioners who understand the critical role of human decision making in automated system design is greater than ever. Offered by the Department of Mechanical Engineering, this certificate program supports students interested in engineering, data science and computer science with a desire to build human-AI systems.

Program Highlights

The Human Factors in Data Science certificate program provides students with the knowledge and skills to engage in the design of artificial intelligence (AI) systems, based on data science (DS) and machine learning (ML) applications, providing a critical understanding of the role that humans play through the data processing pipeline.

The Tufts Human Factors Engineering program is distinguished by its opportunities to work closely with faculty every step of the way. Students have the chance to 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.

Career Outcomes

Through a combination of courses in human factors engineering and data science, students graduate from this program prepared to engage in AI system development, guiding the design of human data collection, feature extraction, and system implementation efforts.

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

Jason Rife

Professor and Chair of Mechanical Engineering
Mechanical Engineering
navigation, safety-critical transportation systems, state estimation, human-robot interaction
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

Gary Leisk

Associate Teaching Professor
Mechanical Engineering
machine design, nondestructive testing
faculty photo

Michael Wiklund

Professor of the Practice
Mechanical Engineering
human factors
faculty photo

Luisa Chiesa

Professor
Mechanical Engineering
sustainable energy, superconducting materials, materials science
faculty photo

Jeffrey Guasto

Associate Professor
Mechanical Engineering
biophysics and soft matter, microscale fluid mechanics and transport phenomena, microfluidic devices
faculty photo

Marc Hodes

Professor
Mechanical Engineering
heat transfer, apparent slip, thermal management of electronics, mass transfer in supercritical fluids and thermoelectricity, material science
faculty photo

Mark Kachanov

Professor
Mechanical Engineering
Mechanics of materials; effective properties of heterogeneous materials; microstructure-property relationships; applications to material science
faculty photo

Erica Kemmerling

Assistant Teaching Professor
Mechanical Engineering
Fluid mechanics, flow in the human body, hemodynamics, aneurysms, heart development, flow in tumors, cardiac assist devices
faculty photo

Douglas Matson

Professor
Mechanical Engineering
solidification processes, thermal manufacturing, machine design, materials science
faculty photo

Pratap Misra

Professor of the Practice
Mechanical Engineering
GPS, emerging satellite navigation systems
faculty photo

Chris Rogers

John R. Beaver Professor of Mechanical Engineering
Mechanical Engineering
Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
faculty photo

Anil Saigal

Professor
Mechanical Engineering
materials engineering, materials science, manufacturing processes, quality control
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

Thomas Vandervelde

Professor and Chair of Electrical and Computer Engineering
Electrical and Computer Engineering
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.
faculty photo

Kristen Wendell

Associate Professor and Stacey and Robert Morse Fellow
Mechanical Engineering
learning sciences, engineering education, design practices, classroom discourse, engineering knowledge construction
faculty photo

Robert White

Associate Professor
Mechanical Engineering
Microelectromechanical Systems (MEMS) fabrication, modeling, and testing. Particularly acoustic MEMS (microphones, ultrasound), and aerodynamic measurement technologies (skin friction sensors, aeroacoustic sensors). Acoustics, vibrations, dynamics and controls. Electromechanical systems including robotics. Finite element methods and system modeling. Electronics for measurement. Mechanical measurements.
faculty photo

Michael Zimmerman

Professor of the Practice
Mechanical Engineering
novel polymer electrolytes for batteries, liquid crystal polymers, composite materials, materials science

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