Johns Hopkins University · on Johns Hopkins Engineering for Professionals
A part-time online AI master's from Johns Hopkins covering machine learning, deep learning, NLP, reinforcement learning, robotics and AI ethics, with faculty drawn from JHU and the Applied Physics Lab. Strong for working engineers in defense, health and government who want a top-tier brand and flexible pacing.
Students and professionals committing 1–3 years. This is an advanced program in Degrees & Graduate Programs, running about 10 courses, typically 2-5 years part-time.
Approx. $56,200 total (10 courses at $5,620 per course after Dean's support, 2026-2027). Sticker price per 3-credit graduate course is $6,870; an automatic $1,250 Dean's fellowship brings typical 2026-2027 cost to $5,620 per course. 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.