University of Texas at Austin Offers Online Master's Degree in AI with EdX

Through its partnership with edX, an online degree and digital course content company, the University of Texas at Austin (UT Austin) will launch a fully online Master of Science degree in Artificial Intelligence (MSAI). The 30-credit-hour curriculum will have four required courses and six elective courses and is designed to help prepare learners for careers in AI and machine learning, which are among the fastest growing and in-demand skill sets, according to the World Economic Forum.

The four required courses are Deep Learning, Machine Learning, Reinforcement Learning, and Logic and Reasoning. The six elective courses are Optimization, Online Learning and Optimization, Automated Logical Reasoning, Natural Language Processing, Case Studies in Machine Learning, and Ethics in AI. Tuition cost is $10,000 and does not include student fees, technology platform licensing, or support services. Applicants must hold a bachelor's degree from an accredited institution by the time classes begin. Applications for the program will open in June 2023, with classes to begin in January 2024. Visit UT Austin's MSAI page to learn more and sign up for updates on the program.

UT Austin has partnered with edX to provide online programs since 2012. There are more than 3,000 active students in UT's existing online master's programs in computer science, data science, and nutritional sciences, according to a news release. The new AI degree "will become an important on-ramp into the profession for students who have been left out of the field due to the high cost and inaccessibility of traditional programs," said Andrew Hermalyn, president of partnerships at edX.

About the Author

Kate Lucariello is a former newspaper editor, EAST Lab high school teacher and college English teacher.

Featured

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • row of digital padlocks

    2026 Cybersecurity Trends to Watch in Higher Education

    In an open call last month, we asked education and industry leaders for their predictions on the cybersecurity landscape for schools, districts, colleges, and universities in 2026. Here's what they told us.

  • Interface buttons of Generative AI tool

    Report: No Foolproof Method Exists for Detecting AI-Generated Media

    Microsoft has released a new research report warning that no single technology can reliably distinguish AI-generated content from authentic media, and that deepening reliance on any one method risks misleading the public.