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TL;DR
Preliminary fall 2026 data from the National Student Clearinghouse Research Center show computer and information science enrollment fell 12.4% at four-year colleges, 12.3% at two-year colleges and 10.4% in graduate programs compared with fall 2025. The figures establish a broad decline, not its cause: a weaker entry-level job market, visa disruptions, post-boom correction and AI exposure may all be contributing.
Computer and information science enrollment fell across every level of higher education in preliminary fall 2026 data released October 29 by the National Student Clearinghouse Research Center, including a 12.4% decline at four-year colleges compared with fall 2025. The figures arrive amid concern about artificial intelligence and a weak entry-level software job market, but they show a change in enrollment—not proof that AI caused it.
The reported declines were 12.4% for undergraduates at four-year colleges, 12.3% at two-year colleges and 10.4% in graduate programs. Compared with fall 2024, enrollment was down 18.4% at four-year colleges, 17.5% at two-year colleges and 27.1% in graduate programs. The field is classified in the report as “Computer and Information Sciences and Support Services.”
The research center describes the release as an early look, not a final count. It analyzed 7.92 million enrollments reported by 46.0% of participating institutions as of September 24, 2026, comparing the same panel of schools across years. Final fall figures are due in January 2027 and may differ. Across higher education overall, enrollment rose 0.2%; undergraduate enrollment rose 0.6%, while graduate enrollment fell 1.6%.
The decline is not shared by every technical or career-focused field. At four-year colleges, engineering enrollment grew 6.1% this fall and health professions grew 6.2%, while business was flat. That contrast suggests the figures describe a shift away from computer science specifically, rather than a broad retreat from higher education or technical study.
Infographic 01 · The turn
Computer science is down at every level, while engineering and health grow
Early fall 2026 data from 46% of U.S. institutions. Percentage changes for the same panel of schools; final figures follow in January 2027.
Every level is down
Change in enrollment versus the prior fall. The undergraduate drop is speeding up, the graduate drop is slowing after a steep first year.
Undergraduate, 4-year
Undergraduate, 2-year
Graduate
Same 4-year colleges, other fields
Undergraduate enrollment change, fall 2026 vs. fall 2025. Students are leaving one field, not technical study.
- Computer & information science−12.4%
- Liberal arts & humanities−4.5%
- Visual & performing arts−4.2%
- Business+0.1%
- Biology+3.8%
- Engineering+6.1%
- Health professions+6.2%
Source: National Student Clearinghouse, Preliminary Fall Enrollment Trends, 29 Oct 2026 (dashboard Figure 3.5; prior-year values from the same panel). Unweighted, preliminary, subject to revision. Field names shortened. For scale: undergraduate computer science at 4-year colleges grew from about 499,000 (2020) to about 660,000 (2024), then fell 8.1% to about 606,000 in fall 2025 (NSC Final Fall Enrollment Trends 2025).
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A Smaller Future Computing Pipeline
If the decline persists, colleges could eventually send fewer computer science graduates into a labor market already adjusting to changes in hiring and automation. But enrollment changes take time to reach employers: students who do not enter a program now would otherwise have graduated years later. The immediate decline therefore does not mean employers are already seeing fewer graduates.
For students and families, the figures are a reason to look closely at job prospects and program choices, not evidence that a computing degree has become worthless. The source material reports that computer science graduates still earn above-average pay, while also describing a difficult market for new software developers. Employers, meanwhile, face a potential mismatch: record numbers of graduates are still completing degrees even as incoming classes shrink.
The numbers also matter for how the AI debate is framed. Generative AI may change the work done by junior developers and the skills employers seek. Yet a decline in enrollment alone cannot establish that students are leaving because of AI, or that AI has eliminated a particular number of jobs. Treating the enrollment data as a direct measure of AI’s employment effects would go beyond what the report measured.
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The Decline Follows a Major Boom
Computer science enrollment climbed rapidly before the current drop. Final Clearinghouse figures cited in the source show four-year undergraduate enrollment rising from about 499,000 in fall 2020 to about 660,000 in fall 2024, then falling 8.1% to about 606,000 in fall 2025. Graduate enrollment in the field fell 14.0% in fall 2025. The two-year decline now reported follows that earlier reversal.
A separate indicator points to the same change in the pipeline. The 2025 Taulbee Survey, covering PhD-granting computing departments in the United States and Canada, reported that new computer science majors fell 13% to 33,490. Those departments nevertheless awarded a record 41,858 bachelor’s degrees, reflecting students who entered several years earlier. Enrollment and degrees can move in different directions because they describe different points in the student timeline.
The labor-market picture offers a reason some prospective students may be reconsidering the field, but does not establish their motives. The source reports that Indeed’s software development postings index stood at about 81, with February 2020 set to 100, and that 4.5% of software development postings in early 2026 were entry-level. It also cites a 7.0% unemployment rate for recent computer science graduates in the latest available by-major data.
AI is one proposed explanation. A Stanford study cited in the source found employment among 22- to 25-year-olds in AI-exposed jobs was 19% below where it otherwise would have been. That finding concerns employment in exposed jobs; it does not directly explain the enrollment figures. The source also points to visa delays affecting international graduate recruitment, a correction after the 2021–2022 hiring boom, and remote work as other possible influences.
What the Early Figures Cannot Show
The data do not identify why students changed programs or enrollment plans. They count enrollment, not student motivations, job offers, AI use by employers or the number of coding roles removed. The proposed explanations—AI, hiring-market weakness, visa disruptions, remote work and a post-boom correction—may overlap, and the supplied evidence does not establish how much each contributed.
The graduate decline may have a different profile from the undergraduate drop. The source says about half of computer science master’s students at research universities are nonresidents and cites a spring 2026 survey in which 86% of computing departments said visa delays and denials hurt their incoming graduate class. Those figures suggest a possible international-enrollment effect, but do not show that visa issues account for the entire graduate decline.
The Clearinghouse figures are preliminary and based on partial institutional reporting. Its comparisons use a consistent panel, but the final January 2027 release could change the rates. A rough estimate in the source projects that four-year undergraduate enrollment might approach its 2021 level if the preliminary fall decline held; that calculation combines a preliminary percentage with final counts and is not an official forecast.
January Counts and Hiring Signals
The next key enrollment milestone is the Clearinghouse’s final fall 2026 report, expected in January 2027. That release will show whether the preliminary declines hold as more institutional data are included. Later enrollment and graduation figures will help indicate whether the change is sustained and when it begins to affect the number of new graduates.
Job postings, entry-level hiring and graduate outcomes will offer separate tests of the labor-market explanations. The source argues that employers should redesign junior roles rather than remove them, and that students can pair coding with judgment, verification and subject-matter knowledge. Those are recommendations, not findings from the enrollment report; whether employers adopt them and how AI changes hiring remain open questions.
Key Questions
What does the 12.4% figure measure?
It is the preliminary year-over-year change in undergraduate enrollment in computer and information science programs at four-year colleges, comparing fall 2026 with fall 2025. It is not a count of jobs lost or graduates who left the profession.
Does the decline prove AI is driving students away?
No. The Clearinghouse report measures enrollment, not students’ reasons for choosing or leaving a program. AI may be one factor, alongside hiring conditions, visa issues and changes after the earlier enrollment and hiring boom.
Did enrollment fall at every education level?
Yes. Preliminary figures show declines of 12.4% at four-year colleges, 12.3% at two-year colleges and 10.4% in graduate programs compared with fall 2025.
When will final enrollment figures be available?
The National Student Clearinghouse Research Center expects final fall 2026 figures in January 2027. The preliminary rates may change as more institutions report.
Source: ThorstenMeyerAI.com
