A clearer path to your next degree.

The University of Texas at Austin

The University of Texas at Austin offers the Computer and Data Science Online degrees alongside professional engineering study through Texas Engineering Executive Education. The options in this research set include computer science, data science, artificial intelligence and engineering management. They belong to the same university, but the administrative route and educational purpose differ. A useful shortlist starts by identifying the exact award and the unit that administers it.

Two different online arrangements

The CDSO programs publish on-demand lectures and instructor-paced coursework. Engineering Management’s FAQ states that its courses are not asynchronous. That is a material schedule difference for someone working across time zones or shifts. Request a representative schedule and establish what must occur live before treating either arrangement as compatible with your week. Online access alone does not answer every attendance question.

The computing degrees address related but distinct learning goals. Compare broad computer science foundations with the integration of statistical and computing methods in data science and the more focused AI curriculum. The engineering-management route combines technical and organizational decisions. It should be investigated as a separate choice, not described as a business concentration of the computing degrees.

Admissions need a program-specific check

CDSO publishes an optional GRE policy and subject-specific preparation requirements. Engineering Management publishes a GRE/GMAT requirement with conditional waiver criteria. An applicant should not apply the CDSO testing rule to Engineering Management. Map your prior degree, courses and professional experience to the actual program instructions and keep any needed preparation in the plan. Meeting a listed threshold does not guarantee admission.

Read price with its scope

The computing pages advertise tuition plus fees, while Engineering Management publishes its own course-based price. These are not interchangeable charges. Ask which entry-term rate and mandatory fees apply, whether any additional courses are required and what a slower sequence would change. A tuition-only figure is not a complete personal cost. Keep equipment, travel and changes to paid work separate from university charges.

Institutional accreditation

UT Austin’s official institutional-accreditation statement identifies the Southern Association of Colleges and Schools Commission on Colleges. It notes that the organization began doing business as The Commission on Colleges and Universities in September 2026, without changing UT Austin’s accreditation status. This is institution-level information; it does not establish a separate specialized approval or an individual graduate’s professional eligibility.

Build an actionable shortlist

For each option, save the current curriculum, admissions instructions, academic calendar and rate information. Ask which courses are required, when electives are available and how assessment and support work remotely. If using a workplace project matters to you, confirm permissions and an academic alternative before relying on access to confidential information. A learning goal should be specific enough to compare with required work.

Complete the location check as well. Enrollment availability and any professional-practice implications need confirmation for the exact program and your circumstances. The federal institution identifier links this profile to UT Austin; it is not a database of every current online graduate price or a claim about program-level outcomes. Use the official next steps to resolve unanswered questions before applying.

Computer Science

Choose an online computer science master’s by matching its technical depth and prerequisites to the computing problems you want to solve. A program designed for experienced programmers is a different route from one with an explicit bridge for applicants from other fields.

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Data Science

Investigate a data science master’s when you want to build stronger statistical and computational judgment about data. Compare mathematical preparation, programming depth, model evaluation and the kind of applied work you will complete.

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Engineering Management

An online engineering management master’s is a route to investigate when you want to combine technical understanding with responsibility for projects, people, resources and organizational decisions. Compare its engineering context with an MBA and a deeper technical master’s.

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Official university website ↗

Online master’s programs in our catalog

This is our researched coverage, not the university’s complete program catalog.

The University of Texas at Austin

Master of Science in Artificial Intelligence

Online coursework

Tuition + mandatory fees
Needs confirmation
Typical time
Needs confirmation
Entrance test
Optional

Ask the university for current tuition and mandatory fees for your intended start term.

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The University of Texas at Austin

Master of Science in Computer Science

Online coursework

Tuition + mandatory fees
Needs confirmation
Typical time
Needs confirmation
Entrance test
Optional

Ask the university for current tuition and mandatory fees for your intended start term.

View program

The University of Texas at Austin

Master of Science in Data Science

Online coursework

Tuition + mandatory fees
Needs confirmation
Typical time
Needs confirmation
Entrance test
Optional

Ask the university for current tuition and mandatory fees for your intended start term.

View program

College Scorecard: the broader institution.

The federal figures below describe the matched institution and reported fields of study. They are separate from our reviewed online master’s program facts.

Matched federal reporting entity: The University of Texas at Austin (228778)

The University of Texas at Austin The curated institution and the selected federal reporting entity match by exact name/campus,existing ID where present,and official domain. Metric populations and years still require separate interpretation.

Source: U.S. Department of Education College Scorecard. Retrieved November 2, 2026 22:20 UTC. Latest available figures may describe different reporting years and cohorts.

Federal institution ID
228778
Location
Austin, TX 78705
Graduate enrollment, institution-wide
10,699
Undergraduate enrollment
42,855
Undergraduate annual tuition, in-state
$11,656
Undergraduate annual tuition, out-of-state
$44,816

Undergraduate annual tuition is not the price of an online master’s degree. Federal admission, completion, debt and earnings measures describe defined cohorts, not an individual’s future result. Missing or suppressed values are not zero.

Official college website ↗

Explore every returned data element.

Choose a category or search field names, definitions and reported values. All returned fields remain available in the paginated explorer and complete downloads, including missing values. “Latest” can combine different reporting years. The retrieval date is not the cohort year.

Availability varies by year and metric. Institution identity and location use the API’s school/location sections; historical selections apply to year-prefixed metrics.

58 matching data elements · Page 2 of 2.

College Scorecard fields, values and definitions
Data elementReported valueSource field
Carnegie Classification — Institutional Classification

Definition and coverage

Carnegie Classification — Institutional Classification

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

6 — Mixed Undergraduate/Graduate-Doctorate Largeschool.carnegie_inst_class
Carnegie Classification — Student Access and Earnings

Definition and coverage

Carnegie Classification — Student Access and Earnings

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

5 — Lower Access, Higher Earningsschool.carnegie_access_earnings
Carnegie Classification — Research Activity Designation

Definition and coverage

Carnegie Classification — Research Activity Designation

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

1 — Research 1: Very High Spending and Doctorate Productionschool.carnegie_research
Carnegie Classification — Institutional Size

Definition and coverage

Carnegie Classification — Institutional Size

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

5 — Very Largeschool.carnegie_inst_size
Carnegie Classification — Award Level Focus

Definition and coverage

Carnegie Classification — Award Level Focus

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

5 — Undergraduate/Graduate-Doctorateschool.carnegie_award_focus
Carnegie Classification — Undergraduate Academic Program Mix

Definition and coverage

Carnegie Classification — Undergraduate Academic Program Mix

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

1 — Mixedschool.carnegie_ug_program
Carnegie Classification — Graduate Academic Program Mix

Definition and coverage

Carnegie Classification — Graduate Academic Program Mix

Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.

Explicit dictionary VALUE/LABEL code table; codes are not quantities.

2 — Professions-focusedschool.carnegie_gr_program
School / SearchNot reported (null)school.search

Downloads include every data element returned for this institution and data selection, across all categories and credential levels. Explorer filters do not truncate the downloads. CSV text that could be interpreted as a spreadsheet formula is escaped; JSON preserves the original data values.

Official data dictionary · Institution methodology · Field-of-study methodology

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