The University of Texas at Arlington

The University of Texas at Arlington

About This Program

This credit-bearing program provides a rigorous foundation in core AI methodologies, focusing on search, optimization, and probabilistic models for real-world application.

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What You'll Learn

Students demonstrate the ability to select and apply AI techniques to solve complex problems in robotics, image processing, and speech recognition.

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 The University of Texas at Arlington, visit their official program website.

Typical Course Topics

                   The curriculum covers key topics such as knowledge representation, neural networks, and machine learning through four or five graduate-level courses.

Part-Time

Program Specializations:

Deep Learning, Machine Learning

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

Admissions

Careers

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

Program Details

Duration

1 Years

Format

On-Campus

Specializations

Deep Learning, Machine Learning

Official Resources

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