Accredited, long-form programs from Georgia Tech, UT Austin, Stanford, Columbia, and others. For learners who want depth, a credential, and a structured multi-year path.
Sorted cheapest first. Click a column header to re-sort. Students and professionals committing 1–3 years.
| Course | Level | Duration | Price | Certificate | |
|---|---|---|---|---|---|
Stanford University School of Engineering · Stanford Online |
advanced | 4 courses, typically 1-2 years (up to 3 years) | Paid Tuition set per cours… |
Yes | Visit |
Georgia Institute of Technology · Georgia Tech |
advanced | 2-6 years part-time (30 credit hours) | Paid ~$7,000 |
Yes | Visit |
The University of Texas at Austin · UT Austin Computer and Data Science Online |
advanced | 10 courses, 18-36 months | Paid $10,000 total |
Yes | Visit |
Harvard University · Harvard Extension School |
intermediate | 4 courses, 8 months to 3 years | Paid $14,320 |
Yes | Visit |
University of London (Goldsmiths) · Coursera |
beginner | 36-72 months | Paid £14,666 |
Yes | Visit |
University of Colorado Boulder · Coursera |
intermediate | 30 credit hours, approx. 24 months | Paid $15,750 |
Yes | Visit |
University of Illinois Urbana-Champaign · Coursera |
advanced | 8 courses, 12-36 months | Paid $19,840 |
Yes | Visit |
University of Pennsylvania · Penn Engineering Online |
advanced | 10 courses; 16 months full-time to 3 years part-time | Paid $38,590 total |
Yes | Visit |
Imperial College London |
advanced | 2 years part-time | Paid £39,900 |
Yes | Visit |
Johns Hopkins University · Johns Hopkins Engineering for Professionals |
advanced | 10 courses, typically 2-5 years part-time | Paid ~$56,200 total |
Yes | Visit |
Columbia University · Columbia Engineering Online |
advanced | 30 credits, 5 terms (under 2 years) part-time | Paid ~$81,000 |
Yes | Visit |
UC Berkeley |
advanced | 27 units; 12-32 months depending on pace (standard 20 months) | Paid ~$82,226 |
Yes | Visit |
Structured programs with instructors, cohorts, projects or formal credentials.
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.
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.
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.
Four Harvard graduate-credit courses in AI and machine learning taken fully online, with live and on-demand options and no application required to start. A pragmatic way for working professionals to earn a Harvard credential and credits that can stack toward a master's.
A fully online undergraduate degree with a dedicated Machine Learning and AI specialism, developed by Goldsmiths and delivered on Coursera with performance-based entry routes. The main accredited bachelor's option for learners without a degree who want a formal path into AI.
An accredited CU Boulder MS-CS with performance-based admission and pathways in machine learning, AI and data science that anyone can start immediately. Ideal for self-taught developers and career changers who lack a traditional CS transcript.
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.
Penn's fully online, asynchronous Ivy League AI master's covering ML, deep learning, NLP, computer vision, robotics and trustworthy AI. A good fit for engineers who want a prestigious degree at well under the cost of Penn's on-campus programs.
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 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.
Columbia's 100% online, part-time MS in AI with four core courses plus electives or a capstone, taught by Columbia Engineering faculty. A premium Ivy League credential for experienced engineers who want depth in modern AI and can absorb the price tag.
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.
AWS, Microsoft Azure, Google Cloud, IBM, NVIDIA and other industry credentials.
Executive education and strategy courses for leaders deploying AI.
Supervised and unsupervised learning, model evaluation, and the math behind it.