University of Dayton

University of Dayton

About This Program

This interdisciplinary program prepares professionals to meet the demand for expertise in automated decision-making. It focuses on the design and advancement of self-governing physical and virtual machines.

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What You'll Learn

Students learn to extract knowledge from data, design intelligent systems, and understand human-like machine cognition. They also gain skills in analyzing data to improve machine learning and adaptation.

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 University of Dayton, visit their official program website.

Typical Course Topics

                   The 15-credit certificate includes five courses covering theoretical and practical concepts. Themes include advanced programming, data structures, human factors, and the advancement of autonomous system design.

Full-Time

Program Specializations:

Computer Vision

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

Admissions

Careers

Gain machine learning skills to advance as Robotics Engineer in Autonomous Vehicles

Program Details

Duration

1 Years

Tuition

13320

View funding options →

Format

On-Campus

Specializations

Computer Vision

Official Resources

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