Tufts University

Tufts University

About This Program

This interdisciplinary program resides at the intersection of computer science, electrical engineering, and mechanical engineering to study how robots interact with humans.

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What You'll Learn

Students learn engineering foundations and human-technology interaction principles necessary for researching and developing future generations of autonomous systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Tufts University, visit their official program website.

Typical Course Topics

                   The curriculum features courses in mechanical engineering, human factors, and bioengineering, with specific requirements based on the student's entry path.

Full-Time

Program Specializations:

Computer Vision, AI Ethics/Policy

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Advance as Robotics Engineer in Cross-Industry AI with autonomous systems expertise

Program Details

Duration

1.5 Years

Tuition

53970

View funding options →

Format

On-Campus

Specializations

Computer Vision, AI Ethics/Policy

Official Resources

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