The University of Texas at Austin · on UT Austin Computer and Data Science Online
A fully online, large-scale MS in AI from UT Austin's top-10 CS department covering machine learning, deep learning, NLP, reinforcement learning and AI ethics. One of the most affordable accredited AI master's degrees for working professionals with a technical background.
Students and professionals committing 1–3 years. This is an advanced program in Degrees & Graduate Programs, running about 10 courses, 18-36 months.
$10,000 total tuition ($1,000 per course, 10 courses). Tuition excludes student fees, technology platform licensing and support services. Seen 2026-11-01.
Four for-credit Stanford graduate courses such as CS221 (AI Principles) and CS229 (Machine Learning), taken online alongside on-campus students. For engineers who want Stanford graduate credit and rigor without enrolling in a full master's.
A rigorous, mathematics-department-led online MSc covering statistical learning, deep learning, Bayesian methods and big data from a top-10 global university. Best for quantitatively strong professionals who want a UK master's without relocating.
A fully online Illinois MCS with courses in machine learning, data mining, cloud computing and AI, taught by the same faculty as the on-campus program. Appeals to software engineers who want a top-5 CS school's degree with pay-as-you-go flexibility.