The University of Texas at Austin

The University of Texas at Austin

About This Program

This undergraduate concentration equips computer science majors with specialized skills in designing and training intelligent systems and machine learning models.

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What You'll Learn

Students master computing theory and practical techniques for robotics, computer vision, natural language processing, and advanced data mining.

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 Austin, visit their official program website.

Typical Course Topics

                   The curriculum features a 12-credit-hour focus including foundation courses in AI or data mining, followed by electives in neural networks and robotics.

Full-Time

Program Specializations:

Natural Language Processing (NLP), Computer Vision

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

Admissions

Careers

Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus

Program Details

Duration

4 Years

Tuition

96960

View funding options →

Format

On-Campus

Specializations

Natural Language Processing (NLP), Computer Vision

Official Resources

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