Online AI Degrees in 2026: What They Cost and Who Needs One

An AI degree online in 2026 runs from about $7,000 to $60,000, takes one to three years part-time, and earns its keep in two situations: you need the credential to clear a role that screens for a master’s, or you want depth that no weekend course delivers. The cheapest real option, UT Austin’s MSAI, costs roughly $10,000 all-in. For most working professionals, a $500 certificate plus a shipped project moves hiring faster than a diploma does.

That is the whole decision in a paragraph. The rest of this page shows you the numbers behind it: what each program actually charges, what it takes to get in, and the point where the math flips from “worth it” to “you’re paying for a name.”

We built this guide the way we build every ranking here. We pulled tuition and admission terms from each university’s own pages in July 2026, cross-checked the totals against enrollment forums and class reviews, and left a (verify) tag on anything a provider states loosely. We don’t sit exams for degrees we haven’t enrolled in, so the judgment below is a cost-and-fit analysis, not a graduation story.

What an AI degree online actually costs in 2026

Sticker price splits cleanly into three bands, and the band matters more than the school inside it.

Under $15,000 — the value tier. State-university online programs priced to fill seats, not to signal exclusivity. UT Austin, Georgia Tech, and a cluster of AACSB business schools live here. These are the only online AI degrees that beat a stacked certificate on pure return, and only if you finish.

$15,000 to $30,000 — the mid tier. Programs from strong public research universities with a data-science or computer-science spine. University of Illinois anchors this band. You’re paying for a recognized name and a heavier workload, not for prestige signaling.

$30,000 to $60,000+ — the prestige tier. Private-university and elite-brand programs, usually engineering-school AI master’s degrees. Johns Hopkins sits here. Almost everyone who enrolls at this price has an employer covering the bill; paying it out of pocket rarely pencils out against the cheaper tiers.

One number reframes all of it: a serious paid certificate runs $39 to about $500, and a genuinely free certificate course runs $0. So every degree on this page is competing against a credential that costs one to two orders of magnitude less. That comparison is the point, and it runs under every pick below.

Two hidden costs never show up on a tuition page and change the real total. The first is time: even the cheapest programs take one to three years part-time, and years of evenings have a price your calculator won’t show. The second is completion risk. Online master’s attrition is real, and a half-finished degree is money spent for nothing. That’s exactly why the “cheap because you’ll actually finish it” argument matters more than the sticker figure.

The best online AI degrees, ranked by value

1. UT Austin — Online Master of Science in Artificial Intelligence (MSAI)

~$10,000 + fees · 30 credit hours (10 courses) · no GRE · fully online

This is the one to beat. UT Austin’s own page prices the degree at “$10,000 + Fees,” and university news framing at launch put it “close to $10,000” for two years’ worth of content. It’s a 30-hour program: one required Ethics in AI course plus nine electives, each worth three credit hours, taught by the same computer-science faculty who teach on campus: Peter Stone on reinforcement learning, Adam Klivans on machine learning, Greg Durrett on NLP.

Admission asks for a strong background in AI or a related science and no GRE score (the CDSO FAQ confirms the GRE isn’t required for any of its programs). A $500 enrollment deposit is widely reported by admitted students (verify). Courses are asynchronous and instructor-paced, delivered through edX, so you fit them around a job.

The honest catch: this is a technical degree with real prerequisites. If linear algebra and Python already make you nervous, the $10,000 saves you nothing because you won’t finish. It’s the best online masters in artificial intelligence on price, full stop. But “cheap” and “easy” are different words.

2. Georgia Tech — OMSCS, Machine Learning specialization

~$7,000 total · 30 credit hours · CS degree with an ML track

The famous one. Georgia Tech’s Online Master of Science in Computer Science has graduated tens of thousands of students at a total cost that sits under $7,000, according to 2025–2026 program write-ups; the per-credit tuition long quoted at $180/hour drives that total, though the official cost page now just points to the Bursar’s live schedule (verify the current rate there). The Machine Learning specialization requires 15 to 18 of your 30 credit hours in ML and AI coursework.

Read the label carefully: this is a computer-science master’s, not an AI master’s degree online in name. For hiring that checks the field on your diploma, that distinction can matter. For the skills, it barely does. The ML track covers the same territory UT Austin does, and the brand is arguably stronger with engineers. If you can get in (admission is competitive and CS-heavy), it’s the lowest-cost accredited path to a graduate credential with AI depth that exists.

3. University of Illinois — Master of Computer Science in Data Science (MCS-DS)

~$19,840–$25,376 total · 32 credit hours · online via Coursera

Illinois runs its online MCS through Coursera, with a Data Science track that leans into the machine-learning and data-mining courses the AI market cares about. Coursera’s own degree page lists the total at $19,840–$25,376 for eight courses across 32 credit hours, pay-as-you-go. No GRE, rolling-ish admission, and a top-5 CS department behind it.

It’s mid-tier for a reason. You’re paying roughly double UT Austin for a comparable-caliber name, and the track is data-science-flavored rather than pure AI. Pick it if you specifically want the Illinois brand and the data-engineering emphasis; otherwise UT Austin does the AI job for less.

4. Johns Hopkins — Engineering for Professionals, MS in Artificial Intelligence

~$56,000 (10 courses × ~$5,620) · online · employer-funded crowd

One of the first online AI master’s programs in the country, built with the Johns Hopkins Applied Physics Lab. JHU publishes per-course tuition rather than a program total; a 600-level graduate course runs $5,620 plus a $100 technology fee, and the degree is ten courses, which computes to roughly $56,000 (verify — JHU doesn’t list the total, and the WSJ pegged the launch price near $46,000 in 2020). The program itself notes that 78% of enrolled students have tuition covered by an employer.

That statistic is the whole review. At this price, the prestige tier only makes sense when someone else is paying. The curriculum is rigorous and the APL pedigree is real, but out of pocket you’re spending five to eight times the UT Austin total for a credential that clears the same résumé screens. If your company reimburses tuition, Hopkins is a strong use of their money. If it’s yours, look one tier down.

5. Online MBA in Artificial Intelligence — for managers, not engineers

~$14,000–$42,000 · 30 credit hours · AACSB business schools

Different degree, different buyer. An MBA in artificial intelligence teaches you to lead AI initiatives and read the strategy, not to train a transformer. The affordable end is genuinely affordable: the University of Southern Indiana’s online MBA in AI lists $13,950 total tuition across 30 credit hours in as few as 12 months, and the University of Mount Union charges $695 per credit hour for 2025–2026. Premium AI MBAs climb past $40,000.

Take this path only if your target job is management. An engineer who buys an AI MBA gets strategy vocabulary and no new build skills; a manager who buys a technical MSAI drowns in linear algebra they’ll never use. Match the degree to the chair you actually want to sit in.

Side-by-side: the numbers that decide it

All five waive the GRE, all five are online, and none of them is the right answer for everyone. The cost spread — $7,000 to $56,000 for credentials that clear similar screens — is the single most important fact on this page.

Is an AI degree online worth it — or is a certificate enough?

Here’s the flip point, stated plainly.

A degree wins when a specific job posting requires a master’s, when you’re changing careers into AI from an unrelated field and need a credible transcript, or when an employer is funding it. In those cases the diploma does work a certificate can’t: it clears an HR filter, or it spends someone else’s money.

A certificate wins everywhere else. If you already work in tech, a $500 credential plus two shipped projects tells a hiring manager more in four seconds than “MS in AI” does, because it shows the work rather than the field. Recruiters skim; portfolios survive the skim. We walk through the hiring-signal data in full on is an AI certification worth it, and it consistently favors evidence over enrollment for people already in the field.

The trap is the middle: paying $30,000+ out of pocket for prestige when a $10,000 program teaches the same skills, or paying for any degree when what your résumé needs is a project. If you’re leaning toward a credential to test the water before committing years and dollars, start with a free certificate course and see whether you finish one before you sign up for twenty.

Not sure a degree is the move yet? Test your appetite first: work through a free, exam-backed AI course and earn a Certificate of Completion before you commit to tuition. Towards AI’s structured tracks are a low-risk way to find out whether you’ll actually finish. Link the graduate offer here.

If you do want the university name without the university price, the credential tier deserves a real look. Our AI certifications ranking scores every major provider by cost and hiring signal, and a stacked set of certificates from Google, Microsoft, or AWS often reads stronger to a technical recruiter than a mid-tier degree, for a fraction of the money and time.

Where the prestige degrees still make sense

Not every expensive program is a bad buy. University-branded AI education has one thing certificates structurally can’t fake: a transcript from an institution a hiring committee already trusts. For research roles, for immigration and visa pathways that require a degree, and for career-changers with no technical résumé to point at, that transcript is the product.

If you’re weighing a name-brand program at the top of the market, read our MIT AI certificate review before you commit. It’s the clearest case study on this site of paying for prestige, what that prestige actually buys, and the cheaper paths that shadow it. The lesson there generalizes: prestige is real, it’s just rarely worth full price when you’re the one paying.

The bottom line

Buy the cheapest degree that clears your specific bar, and only if a degree is genuinely the bar. UT Austin at ~$10,000 is the value winner; Georgia Tech at ~$7,000 is the price winner if you can live with a CS label; everything above $30,000 needs an employer’s checkbook to make sense. And for a large share of people reading this, those already working who need to show skill rather than prove eligibility, no degree on this page beats a $500 certificate and a public portfolio.

The fastest route from “interested in AI” to “hireable in AI” is rarely a diploma. Finish a certified course, ship a project, and let the work do the talking. Start with a free AI course and certificate through Towards AI.

FAQ

How much does an AI degree online cost in 2026?

Online AI master’s degrees range from about $7,000 (Georgia Tech’s OMSCS with a machine-learning track) to roughly $56,000 (Johns Hopkins). UT Austin’s MSAI sits near $10,000 and is the best value for a degree named in AI. Online MBAs in AI start around $14,000 at AACSB business schools.

What is the cheapest online masters in artificial intelligence?

Georgia Tech’s OMSCS is the cheapest accredited path at roughly $7,000 total, though its diploma reads “computer science” with a machine-learning specialization. For a degree titled in AI specifically, UT Austin’s online MSAI at about $10,000 plus fees is the lowest-cost option, and neither program requires the GRE.

Do online AI degrees require the GRE?

None of the major online AI programs covered here require the GRE in 2026. UT Austin, Georgia Tech, Illinois, and Johns Hopkins all admit without it, as do the affordable online MBAs in AI. Admission instead weighs your transcript, prerequisite coursework, and, for technical programs, prior math and programming.

Is an online AI master’s degree respected by employers?

Yes, when it comes from a recognized university. An ai masters degree online from UT Austin or Georgia Tech carries the same weight as the on-campus version, because the transcript doesn’t say “online.” Employers care more about the institution and your demonstrated projects than about delivery format.

Should I get an AI degree or an AI certificate?

Get the degree if a job requires a master’s, you’re changing careers into AI, or an employer is paying. Get a certificate, often $0 to $500, if you already work in tech and need to prove skills fast. For most working professionals, a certificate plus a portfolio wins on both cost and hiring speed.