GRE Waivers for AI Master's Programs: What to Know (2026)

Why GRE policies are more fragmented than ever

Before 2020, GRE requirements were nearly universal for U.S. CS graduate programs. The pandemic forced testing center closures, and most programs moved to test-optional or test-free policies practically overnight. By 2022, the Graduate Record Examinations General Test had been eliminated as a requirement at dozens of flagship CS departments—Carnegie Mellon, MIT, Stanford, Georgia Tech, and many others formally updated their catalogs.

That policy landscape then stabilized into three distinct categories you will encounter today:

• GRE not required (eliminated): The program has permanently removed the GRE from its application requirements. Submitting scores is either not possible or explicitly noted as having no weight.
• GRE optional: Scores may be submitted and will be reviewed if provided, but their absence does not disqualify or disadvantage an applicant. In practice, "optional" can mean anything from "truly neutral" to "quietly preferred for borderline applicants"—the only way to know which is to ask.
• GRE required: Scores must be submitted. Some programs list minimum thresholds (e.g., 155+ Quantitative); others use scores holistically. A small number require scores for international applicants only.

Because policies have changed frequently and some catalog pages lag behind actual department practice, you cannot reliably determine policy from a third-party list. The authoritative source is always the program's own graduate catalog entry or a direct reply from the graduate program coordinator.

How to verify GRE policy using official sources

A two-step verification workflow takes less than ten minutes per program:

1. Start at NCES College Navigator. The National Center for Education Statistics College Navigator lets you confirm a school is accredited, operating, and eligible for federal student aid before you invest time in its application materials. Cross-reference with the federal data tools guide for a full walkthrough.
2. Read the graduate catalog entry for the specific program. University catalogs are official documents published by the registrar or graduate school. Navigate to the program's catalog page—not the departmental marketing site—and read the admissions requirements section. Look specifically for language about standardized tests, GRE codes, and any conditional language ("required unless," "optional for applicants with," "waived for").
3. Email the graduate coordinator if the catalog is ambiguous. A single email to the listed program contact—asking "Is the GRE currently required, optional, or waived for the upcoming admission cycle?"—produces an authoritative answer within a few business days. Save the reply; it is more reliable than any third-party article.

Common catalog URL patterns to find a program's requirements page include:catalog.[university].edu/graduate/[department]/[degree]/Programs listed in our program directory include direct catalog links verified at time of listing.

Notable examples of waiver policies (2026)

The following examples illustrate the range of policies—verify each directly before applying, as policies change:

• Georgia Tech OMSCS: GRE not required for the online MS CS program. The program explicitly states no standardized test scores are needed.
• University of Nebraska-Lincoln MS AI: GRE not required, as confirmed by the published program page. One optional letter of recommendation. Application deadlines and tuition are published on the official graduate catalog.
• University of Kansas MSCS: GRE is optional but "highly recommended" according to the department's admissions page. Mean Quantitative score for admitted students is published as 163; minimum guideline is 155Q/146V. Strong technical record may offset a missing score, but the department explicitly signals that scores carry weight.
• Iowa State University MSCS: GRE required for MS applications, with waivers available—contact the department directly (csadmissions@iastate.edu) for current waiver criteria.
• University of Idaho MS/MEng in AI: Verify GRE requirement with the department (csinfo@uidaho.edu); catalog does not specify scores in the program requirements listed for this program.

These examples are illustrative snapshots. Always confirm current policy with the department before applying.

What admissions committees use instead of GRE scores

When a program waives GRE scores, the weight shifted to other application components. Understanding what fills the gap helps you optimize your application strategy.

Undergraduate GPA in quantitative coursework

Most programs continue to require a minimum undergraduate GPA (commonly 3.0 on a 4.0 scale). But aggregate GPA is increasingly supplemented by a close look at specific courses: linear algebra, calculus, probability and statistics, algorithms, and core programming courses. A 3.2 overall GPA with A grades in every math and CS course often reads better to an AI program committee than a 3.6 overall with weak quantitative performance.

According to data published by the National Center for Education Statistics (NCES), completion rates and academic performance in graduate STEM programs correlate strongly with undergraduate preparation in quantitative methods—one reason departments often scrutinize course-level transcripts rather than just cumulative GPA.

Statement of purpose

The statement of purpose carries more weight at test-optional programs than it did when GRE scores provided a quick quantitative screening signal. Effective statements for AI programs typically:

• Name a specific research question or applied problem you want to work on
• Connect your undergraduate coursework or work experience to that problem
• Reference specific faculty, courses, or lab groups at the target program
• Describe at least one technical project in concrete terms (dataset, methods, outcome)

For a deeper look at how to structure this document, see the Statement of Purpose guide.

Letters of recommendation

At test-optional programs, a strong technical letter—from a supervisor who watched you implement an ML pipeline, debug a production system, or complete a research project—compensates for the absence of a Quantitative score. Letters that describe specific work products are more useful to committees than general praise. For guidance on requesting and framing letters, see the Recommendation Letters guide and our upcoming deep dive on letters of recommendation for AI master's admissions.

Work experience and project portfolios

Applicants with 1–3 years of relevant industry experience often receive favorable treatment at test-optional programs specifically because GRE scores were the primary proxy for "rigor" for recent graduates with no work record. A GitHub profile with documented ML projects, or a portfolio with annotated notebooks demonstrating model development, evaluation, and interpretation, can serve a similar signaling function for new graduates.

See the companion article on what a strong AI admissions portfolio looks like for a rubric.

Should you take the GRE anyway?

The answer depends on your target list and your competitive profile:

• If your top programs have formally eliminated GRE: Spending time and money preparing for a test that will not be reviewed is unlikely to improve your outcome. Redirect that preparation time toward a stronger statement of purpose or a completed portfolio project.
• If several of your target programs list GRE as "optional" with high mean scores on admitted students: A strong Quantitative score (160+) can meaningfully differentiate you, especially if your GPA is in a borderline range (3.0–3.3) or your undergraduate institution is less familiar to the committee. Sitting the exam once is reasonable insurance.
• If your target list includes programs that still require scores: Take the exam. A single preparation investment covers all programs. ETS publishes free practice materials; the GRE website includes current scheduling, fee waiver information, and official practice tests.

Applicants who take the GRE and score below the program's informal threshold face a different calculation: whether to submit, omit (if optional), or retake. A score below the published mean at a required-GRE program may disadvantage an otherwise strong application more than omitting it at an optional-GRE program.

GRE waivers for international applicants

Some programs maintain different policies for domestic and international applicants. A handful require GRE scores from international applicants as an additional English-language proficiency signal (separate from TOEFL/IELTS), or as a quantitative benchmark when undergraduate transcripts are harder to benchmark against U.S. coursework standards. Read the admissions requirements carefully for any language like "required for international applicants" or "waived for U.S. students only."

International applicants navigating this process should also review our STEM OPT primer, which covers Form I-20 documentation, DSO workflows, and what to verify before accepting an offer.

Read next

• What a strong AI admissions portfolio looks like
• Letters of recommendation for AI master's admissions
• How to pick an AI master's program
• Verify school accreditation and program legitimacy
• Federal data tools for AI program research

Frequently asked questions

How do I find out if a specific AI master's program waives the GRE?

The most reliable source is the department's own admissions page or its entry in the university's official graduate catalog. Many programs updated policies in 2021–2023 and have not reverted. If the catalog is ambiguous, email the graduate program coordinator directly—a one-sentence reply is authoritative in a way that a rankings site is not.

Does waiving the GRE hurt my application at competitive programs?

At programs that have formally eliminated the GRE, not submitting scores does not penalize you—the committee evaluates other signals instead. At programs that list GRE as "optional," a strong score may still help applicants with lower GPAs or applicants from less-familiar undergraduate institutions. When in doubt, ask the coordinator whether optional means truly neutral.

What replaces the GRE in a test-optional AI master's application?

Admissions committees typically place greater weight on undergraduate GPA (especially in math and CS courses), relevant work experience, a clear statement of purpose, and—where available—a project portfolio or GitHub record demonstrating applied ML or software skills. Strong letters of recommendation from technical supervisors or faculty are especially persuasive.

Are online AI master's programs more likely to waive the GRE?

Many large-enrollment online programs—such as Georgia Tech OMSCS and UIUC's online MS CS—do not require GRE scores, partly because high application volume makes holistic review impractical for every applicant. But waiver policies vary widely: some small on-campus programs have also eliminated the GRE. Always verify with the specific program.

Can I still submit GRE scores if a program has waived the requirement?

Most programs that have removed the GRE requirement will accept scores if submitted, but may not factor them into the decision. Some programs explicitly note that scores will not be reviewed even if sent. Check the current catalog entry or ask the coordinator how optional scores are handled.