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

  • Profile silhouette of a person thoughtfully touching their chin, overlaid with transparent data visualizations and digital interface elements suggesting artificial intelligence and analytics.

    The Institutional Knowledge Shift Is Reshaping Higher Ed IT

    Higher education IT leaders are navigating a quiet but consequential transition: Experienced team members are retiring or leaving for private-sector roles, and the teams replacing them are smaller, newer, and often stretched thin. The result is a structural shift in how technology decisions are made, executed, and sustained.

  • abstract quantum computing glowing circuits

    Nvidia Unveils 'Ising' Quantum AI Model

    Nvidia has announced a new family of open source AI models, dubbed "Ising," designed to accelerate quantum computing by improving calibration and error correction.

  • robot hand holding stacks of coins

    Designing AI Systems for Financial Aid

    Financial aid offices have been slow to adopt AI, risking technological stagnation at a critical early student touchpoint. Systematic AI integration can improve student experiences and strengthen institutional positioning.

  • Businessman using laptop analyzing data and growth graph chart

    AI Budgets in Education Show No Sign of Decline

    The vast majority of education organizations (98%) expect their AI infrastructure budgets to either increase or hold steady over the next year, according to a recent report from cloud storage provider Wasabi.