Texas Tech University

Texas Tech University

About This Program

A 12-credit graduate credential designed for working professionals to gain essential skills in modern artificial intelligence and machine learning without enrolling in a full degree.

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What You'll Learn

Participants develop expertise in statistical analysis, supervised and unsupervised machine learning techniques, and the creation of models to solve complex real-world challenges.

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 Texas Tech University, visit their official program website.

Typical Course Topics

                   The curriculum consists of four courses covering core AI principles, machine learning algorithms, deep learning, and specialized topics like deep reinforcement learning or robotics.

Part-Time

Program Specializations:

Machine Learning, Deep Learning

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

Admissions

Careers

Build machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

Program Details

Duration

1 Years

Format

On-Campus

Specializations

Machine Learning, Deep Learning

Official Resources

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