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.
Who it's for
Students and professionals committing 1–3 years. This is an advanced program in Degrees & Graduate Programs, running about 4 courses, typically 1-2 years (up to 3 years).
Cost at a glance
Tuition set per course; see Stanford Online. Stanford's site blocks automated price checks. Graduate certificate courses are billed per course at Stanford graduate tuition rates; confirm on the program page.
More in Degrees & Graduate Programs
Imperial College London
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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.
advanced
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University of Illinois Urbana-Champaign·Coursera
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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.
advanced
8 courses, 12-36 months
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Berkeley's online data science master's with weekly live Zoom classes, courses in machine learning, deep learning and NLP, and an in-person immersion. A premium option for professionals who want Berkeley's brand and a synchronous cohort experience.
advanced
27 units; 12-32 months depending on pace (standard 20 months)
Certificate