Verdict
Is The University of Texas at Austin Worth It?
UT Austin's online Master of Science in Artificial Intelligence is 30 credit hours for about $10,000 total, with no GRE required, from a flagship public university. If you have a technical bachelor's degree, it's very hard to beat on price and name. If you don't, the admission bar may be your biggest hurdle.
This degree comes from Computer & Data Science Online in the College of Natural Sciences at The University of Texas at Austin. UT describes it as one of the first AI master's programs available 100% online, and it's a 30-hour program built around machine learning and related AI topics.
It's a serious technical degree. The admission language says a bachelor's degree, typically in computer science, engineering, mathematics or a related field, so people from other backgrounds should read the requirements carefully.
Score
Why It Ranks Among the Top Three
Each factor is scored 0 to 10 against other online master's programs. The weights are the same for every program, and the overall score is relative to the top online master's program, which scores 100.
Online Program Score 100.0 / 100
Darker bars mean stronger factor scores. Every bar also shows its number.
The full rubric is on the methodology page.
Cost
How Much It Costs at $333 a Credit
UT Austin lists total tuition of $10,000, about $1,000 per 3-credit course. Our data computes $333 per credit across 30 credits. International student fees and late registration fees may apply on top of that.
That's a very low price for a master's from a flagship public university. Few online AI master's degrees on this site come close. Even so, ask for a full list of fees, since tuition is only part of any degree bill.
30 credits at $333 a credit comes to $9,990 in tuition, before fees.
- Cost per Credit
- $333 per credit
- Credits Required
- 30 credits
- Estimated Tuition
- $9,990
- Military Benefits
- GI Bill benefits may apply to the online master's (Option III program); Hinson-Hazlewood Act exemptions do not.
- Fees and Notes
- Total tuition $10,000 (about $1,000 per 3-credit course). International student fees and late registration fees may apply.
Source: cdso.utexas.edu (cost and aid), verified September 30, 2026
Fit
Who Should Apply, and Who Should Not
Who It Fits
- You have a bachelor's in computer science, engineering, math or a related field and want a master's in AI at a low total cost.
- You work full time and want asynchronous, instructor-paced courses you can access on your own schedule.
- You want a flagship university name without a tuition bill in the tens of thousands.
- You've been avoiding the GRE. UT doesn't require it for any CDSO program, and scores are only considered if you submit them.
Who Should Skip It
- Your bachelor's is in an unrelated field and you have no programming or math background. Look at business-focused AI master's programs with broader admission rules.
- You want a short program. A 30-hour master's is a real commitment of time, even at a low price.
- You want live evening classes or a tight cohort. The courses are asynchronous.
Curriculum
What You Will Study
The master's is a 30-hour program. Courses on the program page include Machine Learning, Deep Learning, Natural Language Processing and Reinforcement Learning, and Ethics in AI is required. Those are core AI topics, which tells you this is a technical degree, not a management overview.
UT Austin describes the courses as asynchronous and instructor-paced, designed to be accessed on your schedule. Before you apply, review the current course catalog for electives and prerequisites, because the program expects real preparation in programming and math.
Courses the School Names
- Ethics in AI (required)
- Deep Learning
- Machine Learning
- Natural Language Processing
- Reinforcement Learning
Standout Features
- Certificate credits transfer into the MS in AI with no retakes
- Pre-recorded lectures; no set meeting times
- Taught by UT Austin faculty, with reinforcement learning led by active researchers Peter Stone and Scott Niekum
Online
The Online Format
UT calls it one of the first AI master's programs available 100% online. The courses are asynchronous and instructor-paced, which means you follow a course schedule with deadlines but don't have to attend at a set hour.
Instructor-paced is a different thing from self-paced. You can't binge a course in one weekend and move on. Plan for steady weekly work, and ask the program how many courses a typical student takes at once.
- Terms
- Follows the UT Austin traditional fall and spring semester calendar; courses released weekly.
- Start Dates
- 2 starts a year
Source: cdso.utexas.edu (format and schedule), verified September 30, 2026
Admissions
Getting In Without the GRE
- GRE
- Not required
- Admission Requirements
- Bachelor's degree from a regionally accredited institution, typically in computer science, engineering, mathematics or a related field; GRE not required (scores are considered if submitted).
Sources: cdso.utexas.edu (admissions and transfer), cdso.utexas.edu (admissions and transfer), cdso.utexas.edu (admissions and transfer), cdso.utexas.edu (admissions and transfer), verified September 30, 2026
Credentials
Accreditation and Where It Leads
You earn a Master of Science in Artificial Intelligence from The University of Texas at Austin. According to federal IPEDS data, 27% of applicants are admitted, the overall graduation rate is 89% and about 53,864 students attend.
Our wage data lists a median of $137,740 for the broader field this degree feeds into. That's a field figure, not a graduate outcome for this program. A degree like this stands on its own as a credential.
Where this degree can lead: Data Scientist Jobs, Jobs You Can Get With an AI Degree.
Trade-Offs
Drawbacks to Weigh
- Admission expects a bachelor's degree typically in computer science, engineering, mathematics or a related field. Career changers from other fields face a harder path in.
- Instructor-paced courses mean deadlines. If your work schedule swings wildly, ask how the program handles missed weeks.
- Fees can add to the $10,000 tuition, including international student fees and late registration fees.
Before You Apply
Questions to Ask The University of Texas at Austin Before You Apply
- What background do admitted students usually have, and what happens if my degree isn't in a technical field?
- How many courses do students typically take at once, and how long does the 30 hours take at that pace?
- Which electives are offered, and how often does each run?
- What fees come on top of the $10,000 tuition?
- If I start with the online AI certificate first, which credits move into the master's?
- How much programming and math should I be comfortable with before the first course?
School
About The University of Texas at Austin
Flagship public research university in Austin, Texas. Its online AI programs are offered through Computer & Data Science Online in the College of Natural Sciences.
- Degree
- M.S., Master's
- School
- The University of Texas at Austin, Austin, TX
- Institution Type
- Public
- Delivery
- Fully Online
Source: cdso.utexas.edu (program and school), verified September 30, 2026
- Graduation Rate
- 89%
- Admit Rate
- 27%
- Total Enrollment
- 53,864
- Master's Completions a Year in This Field
- 174
- Campus Setting
- City
Source: nces.ed.gov (school data from ipeds), verified September 30, 2026
Rankings
Rankings This Program Appears In
Rank is the program's position among the online programs on that list at its degree level.
- Best Online AI Degrees Rank 1 of 49, master's
- Best Online Master's Programs Rank 1 of 49, master's
- Cheapest Online Programs Rank 1 of 15, master's
- No-GRE Master's Programs Rank 1 of 11, master's
- 100% Online Programs Rank 1 of 46, master's
- Public University Programs Rank 1 of 21, master's
- Best Online Programs in Texas Rank 1 of 3, master's
Same School
Other Online Programs at The University of Texas at Austin
-
Graduate Certificate in Artificial Intelligence & Machine Learning (Online)
Graduate Certificate, Graduate Certificate
Compare
Online Master's Programs With Similar Scores
Other online master's programs with the closest scores.
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Applied AI and Decision Analytics
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Master of Science in Engineering in Artificial Intelligence (MSE-AI Online)
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Master of Science in Artificial Intelligence (Online)
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Master of Science in Applied Artificial Intelligence (Online)
Frequently Asked Questions
Is The University of Texas at Austin's Master of Science in Artificial Intelligence (Online) a Good Program?
It ranks #1 of 49 online master's programs in our 2026 rankings, because it charges $333 per credit (the lowest among the online master's programs we rank) and its school's IPEDS graduation rate is 89% (higher than 33 of 45 other online master's programs we rank).
It also places #1 among master's programs on the Cheapest Online Programs list, #1 among master's programs on the No-GRE Master's Programs list, and #1 among master's programs on the 100% Online Programs list.
How Much Does UT Austin's Online MS in AI Cost?
Is the GRE Required?
Is the Program Fully Online?
How Much Does This Program Cost?
Sources
- The University of Texas at Austin's Master of Science in Artificial Intelligence page
- Program name: Master of Science in Artificial Intelligence (Online); Credential: M.S.
- Delivery: fully-online
- Term format: Follows the UT Austin traditional fall and spring semester calendar; courses...; Starts per year: 2
- Cost per credit: $333; Cost notes: Total tuition $10,000 (about $1,000 per 3-credit course). International...; Estimated tuition: $10,000
- Credits: 30
- Notable courses: Ethics in AI (required); Deep Learning; Machine Learning; Natural Language...
- Standout feature: Certificate credits transfer into the MS in AI with no retakes
- Standout feature: Pre-recorded lectures; no set meeting times
- Standout feature: Taught by UT Austin faculty, with reinforcement learning led by active...
- GRE: not-required
- Admissions: Bachelor's degree from a regionally accredited institution, typically in...
- Military benefits: GI Bill benefits may apply to the online master's (Option III program);...
- IPEDS Data Center
All sources retrieved .