The University of Texas at Austin

The University of Texas at Austin

About This Program

This degree path provides a deep dive into the technologies driving modern innovation, from autonomous systems to advanced predictive analytics.

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What You'll Learn

Learners develop a strong background in hardware architecture and mathematics, applying these foundations to study deep learning and knowledge representation.

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 program includes core computer science requirements plus a specialized 12-hour concentration in machine learning, computer vision, and autonomous multiagent systems.

Full-Time

Program Specializations:

Natural Language Processing (NLP), Computer Vision

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

Admissions

Careers

Enter Computer Vision Engineer career in Cross-Industry AI with machine learning focus

Program Details

Duration

4 Years

Tuition

111700

View funding options →

Format

On-Campus

Specializations

Natural Language Processing (NLP), Computer Vision

Official Resources

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