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The University of Texas at Austin Master of Science in Artificial Intelligence (MSAI) online

Meet the demand for highly trained AI practitioners with this one-of-a-kind online AI master’s program designed by the top-ranked Department of Computer Science at UT Austin, debuting in 2024. The application opens in June 2023.

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About the program

  • Foundational learning: Stay ahead of the curve. Develop a deep understanding of the core concepts and solution-oriented techniques used in AI.
  • Technical expertise: Learn to mimic human motor control and motion with highly advanced AI pathways, such as deep learning, computer vision, and information retrieval.
  • Career confidence: Drive AI innovation in this quickly evolving field, and lead teams and organizations to do the same.

About The University of Texas at Austin

Founded in 1883, The University of Texas at Austin ranks among the 40 best universities in the U.S.Footnote 2 As Texas' leading research university, UT is proud to introduce its state-of-the-art online graduate program in artificial intelligence to learners ready to spark innovation. Explore the disciplines and methodologies revolutionizing the power of AI, and establish yourself as a leader in your field. The degree is pending final approval by the Texas Higher Education Coordinating Board.

Tuition and fees

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services.

The 30-credit hour curriculum

The University of Texas at Austin designed its flexible online MSAI for learners ready to make a real impact in the fast-paced field of artificial intelligence. Online MSAI learners develop high-powered technical skills to succeed in their careers as, among others, software engineers, data scientists, and AI consultants. Learners complete four required courses (12-credit hours) and six elective courses (18-credit hours) to understand the broad scope of AI capabilities. The elective courses give learners the opportunity to specialize in areas such as machine learning, artificial intelligence, or advanced systems design. Courses include:

  • Required courses:
    • Deep Learning
    • Machine Learning
    • Reinforcement Learning
    • Planning, Search, and Reasoning Under Uncertainty
  • Elective courses:
    • Optimization
    • Online Learning and Optimization
    • Automated Logical Reasoning
    • Natural Language Processing
    • Case Studies in Machine Learning
    • Ethics in AI
    • AI for Health
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Admissions

Prospective learners interested in the online program must hold a bachelor’s degree from an accredited institution by the time classes begin. Applicants may be admitted with a degree in a related field that demonstrates their capacity for success in a technical field of study. Examples would include computer science, computer engineering, electrical engineering, statistics, data science, and mathematics.

Applicants with degrees in non-technical subject areas may be eligible for admission if the admissions committee determines they have completed sufficient relevant coursework to be fully prepared to pursue graduate study.

Applications are not being accepted yet. Request more information to receive updates about upcoming application deadlines and program details.

  • Online application 

  • Application fee  

  • Statement of purpose 

  • Letters of recommendation (optional)

  • Official transcripts

  • Résumé 

The future of AI starts now

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AI is everywhere. From facial recognition to recommendation algorithms, AI has become an integral part of everyday life. As AI technology grows more ubiquitous, so does the demand for skilled AI professionals. 

According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is projected to grow 21% from 2021 to 2031, much faster than the average for all occupations.Footnote 3 Join the thousands of innovators changing the future of AI — today.

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