Georgia Institute of Technology · on Georgia Tech
The pioneering low-cost online CS master's, with a Machine Learning specialization covering ML, deep learning, reinforcement learning and AI. The best value accredited AI/ML master's for working engineers who can commit to rigorous coursework over several years.
Students and professionals committing 1–3 years. This is an advanced program in Degrees & Graduate Programs, running about 2-6 years part-time (30 credit hours).
Approx. $7,000-$9,000 total ($227 per credit hour plus $212 online fee per semester). Fall 2026 bursar schedule: tuition $227 per semester credit hour; online learning fee $212 per semester (<4 credit hours) or $531 (4+). 30 credit hours required; total depends on pace. 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.