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TL;DR
Preliminary National Student Clearinghouse data released October 29 show computer and information science enrollment fell across undergraduate and graduate programs in fall 2026. The figures do not establish why students are leaving: a weak entry-level software market is documented, but AI’s role, visa constraints, and other factors remain part of a broader explanation.
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, as students face a weaker entry-level software job market and debate grows over artificial intelligence’s effect on tech careers. The figures record enrollment changes, but do not establish that AI caused the declines.
The report found undergraduate computer and information science enrollment down 12.4% at four-year colleges and 12.3% at two-year colleges compared with fall 2025. Graduate enrollment in the field fell 10.4%. Across two years, the respective declines were 18.4%, 17.5% and 27.1%. The category covers computer and information sciences and support services.
The figures come from an early report based on 7.92 million enrollments reported by 46.0% of participating institutions as of September 24. The Clearinghouse compares the same panel of schools over time, and reports percentage changes rather than total enrollment counts. Its final fall figures are due in January 2027 and may differ from the preliminary estimates.
Other fields did not show the same pattern at four-year colleges: engineering enrollment grew 6.1% and health professions grew 6.2% this fall, while business was flat. The wider higher-education picture was relatively stable, with total enrollment up 0.2% and undergraduate enrollment up 0.6%, according to the report.
The job-market measures cited in the source material point to pressure on new entrants. Indeed’s software development postings index was about 81, with February 2020 set at 100; only 4.5% of software development postings in early 2026 were classified as entry-level. The latest by-major figures cited in the report put unemployment among recent computer science graduates at 7.0%. These indicators describe conditions students may be weighing, but they do not reveal why each student chose a different field.
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 Pipeline for Tech Hiring
The enrollment drop matters to employers and students because it could change the supply of new computing graduates in coming years. The source analysis says current graduating classes remain large because they reflect students who entered programs earlier; it expects any enrollment-related reduction in graduates to arrive later, around 2029. That timing is an estimate, not a reported outcome.
For companies, fewer students entering computing programs could eventually make it harder to recruit early-career workers. But the current weak market creates a separate concern: if employers respond to automation or cost pressures by removing junior roles, new graduates may have fewer routes to gain experience. The source argues companies should redesign entry-level work rather than eliminate it; that is a recommendation, not a finding in the Clearinghouse data.
For students and career changers, the numbers are a warning about competition and uncertainty, not evidence that a computing education has no value. The source material says computer science continues to pay above average, while recommending that students pair coding with judgment, verification skills and knowledge of a particular field. The enrollment report itself does not measure wages, career outcomes or the value of specific skills.
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Enrollment Reversed After a Boom
The recent decline follows a period of rapid growth. Final Clearinghouse figures cited in the source show four-year undergraduate computer science enrollment rising from about 499,000 in fall 2020 to roughly 660,000 in fall 2024, before falling 8.1% to about 606,000 in fall 2025. Graduate enrollment fell 14.0% in fall 2025, to about 190,000.
A Computing Research Association survey of PhD-granting computing departments in the United States and Canada also showed a change in the pipeline: new computer science majors fell 13% to 33,490 in 2025, while departments awarded a record 41,858 bachelor’s degrees. The difference reflects timing: degrees awarded now largely represent students who started their programs years earlier.
Several possible explanations overlap. The source material points to a hiring slowdown after the 2021–2022 boom, changing visa conditions, remote work and students choosing newer programs, alongside AI-related changes in hiring. At research universities, it says roughly half of computer science master’s students are nonresidents, and 86% of computing departments in a spring 2026 survey reported that visa delays and denials hurt their incoming graduate class. These factors may affect enrollment differently at undergraduate and graduate levels.
Evidence on AI’s labor-market effect is mixed and does not directly explain the enrollment figures. 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. A New York Fed analysis attributed most of the rise in unemployment among young graduates to remote work and found a timeline that predates generative AI. Neither result, as presented in the source, proves what drove students’ decisions.
Causes Remain Hard to Separate
The enrollment data do not identify students’ reasons for changing programs or choosing not to enroll. AI may be part of the picture, but the available figures do not establish it as the main cause. Hiring conditions, visa delays, the earlier technology hiring boom and shifts toward other programs could also contribute, and their relative effects are not established.
The figures are also preliminary, drawn from less than half of participating institutions reporting by September 24. The final January 2027 count may change the measured declines. The cited employment and job-posting indicators have their own definitions and time frames, so they should not be treated as a direct measure of AI’s effect on computer science enrollment.
Final Counts and Hiring Signals
The next formal check on the enrollment figures is the Clearinghouse’s final fall 2026 report, expected in January 2027. It will show whether the preliminary declines hold after more institutions report. Later graduation data will help test when any smaller incoming cohorts begin to affect the number of new degree holders.
In the meantime, students and employers will be watching entry-level postings, graduate hiring and visa-related enrollment patterns. Those indicators may help clarify how the technology labor market is changing, but they will not by themselves establish what motivated prospective students. For now, the confirmed development is a broad fall in computing enrollment; its causes and longer-term effects remain unsettled.
Key Questions
How much did computer science enrollment fall?
Preliminary fall 2026 data show computer and information science enrollment down 12.4% at four-year colleges, 12.3% at two-year colleges and 10.4% in graduate programs compared with fall 2025.
Does the report show that AI caused the decline?
No. The Clearinghouse report measures enrollment, not students’ reasons for choosing or leaving a program. AI-related job changes are one possible factor among several, and the data do not establish a primary cause.
Is enrollment falling across all technical fields?
No. At four-year colleges, engineering enrollment grew 6.1% and health professions grew 6.2% in fall 2026. The reported decline is specific to the computer and information science category.
When will the enrollment numbers be final?
The Clearinghouse expects to publish final fall 2026 figures in January 2027. The preliminary report used information from institutions reporting by September 24, so the final estimates may differ.
Source: ThorstenMeyerAI.com
