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TL;DR
Preliminary fall 2026 data from the National Student Clearinghouse Research Center 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 from a year earlier. The figures confirm a steep decline, but do not establish that AI caused it; a weak entry-level job market, visa pressures and enrollment shifts are also possible factors.
Computer and information science enrollment fell across degree levels in preliminary fall 2026 data released October 29 by the National Student Clearinghouse Research Center, as students weigh a weaker entry-level technology job market and growing uncertainty about AI’s effects. The declines are substantial, but the figures do not identify a cause: AI is one possible influence among several, not an established explanation for the drop.
The Clearinghouse reported year-over-year declines of 12.4% at four-year colleges for undergraduates, 12.3% at two-year colleges and 10.4% in graduate programs. Across two years, the corresponding declines were 18.4%, 17.5% and 27.1%. The undergraduate drops accelerated from the prior year, while the graduate decline eased after a larger fall in 2025.
The figures come from the center’s Preliminary Fall Enrollment Trends report. It had data on 7.92 million enrollments from institutions representing 46.0% of participating schools as of September 24. The center compares the same panel of institutions over time, and says final figures, due in January 2027, could differ. Total enrollment across the report was up 0.2%, making the computer science decline sharper than the overall picture.
The downturn was not shared by all career-oriented fields. At four-year colleges, engineering enrollment rose 6.1% this fall and health professions grew 6.2%, while business was flat. The pattern suggests students are not simply turning away from technical or applied study; they may be choosing other programs over computer science.
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 Meets Weak Hiring
The enrollment shift matters to students and employers because it changes the future supply of graduates even as current hiring remains difficult. Indeed’s software development postings index stood at about 81, with February 2020 set to 100, according to the source material. Only 4.5% of software development postings in early 2026 were classified as entry-level. Recent computer science graduates had a 7.0% unemployment rate in the latest data broken down by major cited in the report.
Those indicators give prospective students a reason to question whether a degree leads directly to an entry-level coding job. They do not establish that the degree has lost its value or that AI alone is responsible for hiring conditions. The source material says computer science still pays above average, while pointing to the importance of combining programming with judgment, verification and knowledge of a specific field.
For companies, a smaller incoming student pipeline could mean fewer graduates several years from now, after a period in which the number of computer science degrees remained high. The source argues that employers should redesign junior roles rather than eliminate them, but that is a recommendation, not a finding of the enrollment report. Whether employers change hiring practices, and whether AI-related productivity affects the number or kind of junior jobs, remain open questions.
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A Boom Before the Enrollment Drop
The decline follows a rapid rise in computer science enrollment. Final Clearinghouse data cited in the source show undergraduate enrollment at four-year colleges increasing from about 499,000 in fall 2020 to about 660,000 in fall 2024, before falling 8.1% in fall 2025. Graduate enrollment in the field fell 14.0% that year, to about 190,000. The new preliminary data indicate further declines, though they should not be treated as final counts.
Computing Research Association data offer another sign of a changing pipeline: its 2025 Taulbee Survey, covering PhD-granting computing departments in the United States and Canada, recorded a 13% drop in new computer science majors, to 33,490. Those departments still awarded a record 41,858 bachelor’s degrees, reflecting students who enrolled years earlier. That lag means enrollment changes do not immediately translate into fewer graduates.
Several explanations could overlap. The source cites a Stanford study finding employment among 22- to 25-year-olds in AI-exposed jobs was 19% below an estimated counterfactual. It also cites a New York Fed analysis attributing most of the rise in young graduates’ unemployment to remote work and noting that the timing began before generative AI. Neither finding shows that AI caused the college enrollment decline. Visa delays and denials may also have weighed on graduate programs: a spring 2026 survey found 86% of computing departments said those problems hurt their incoming graduate class, while the source says about half of computer science master’s students at research universities are nonresidents.
What Is Driving the Decline?
The Clearinghouse enrollment figures show how many students enrolled, not why they chose a program. They cannot establish whether concern about AI, weak entry-level hiring, visa restrictions, the end of the 2021–2022 hiring boom, remote-work changes or movement into newer programs caused the drop. The source material presents each as a possible part of the picture, but the available figures do not isolate their individual effects.
The data are also preliminary and based on a partial panel of participating institutions. Final numbers could differ, and the reported category—“Computer and Information Sciences and Support Services”—covers more than computer science alone. It is not yet clear how much of the decline reflects fewer students entering the field, changes in program classification or other enrollment patterns, nor whether the trend will persist.
Evidence about AI and jobs is also not the same as evidence about students’ motives. A study finding weaker employment among young workers in AI-exposed jobs does not show that students changed majors because of AI. The enrollment report did not survey students about why they chose other subjects.
Final Counts and Hiring Trends Ahead
The Clearinghouse expects to publish final fall 2026 enrollment figures in January 2027. Those data will show whether the preliminary declines hold after a fuller count, but will not by themselves explain the reasons behind students’ decisions. Later enrollment and graduation figures can help reveal whether the decline is sustained and when it begins to affect the number of graduates entering the labor market.
In the meantime, students and career switchers are likely to judge computer science against the job market they can see now: few postings explicitly marked entry-level and unemployment among recent graduates that is elevated in the cited major-specific data. Employers’ hiring patterns, the availability of junior roles and changes in demand for software skills will help clarify whether AI is altering opportunities or mainly changing the work expected of new hires.
For now, the confirmed development is a steep preliminary enrollment decline, not proof that AI has made computer science degrees less appealing or less useful. The next evidence will come from final enrollment counts and from whether hiring conditions improve, remain weak or change as AI tools spread.
Key Questions
How much did computer science enrollment fall?
Preliminary fall 2026 figures show year-over-year declines of 12.4% at four-year colleges, 12.3% at two-year colleges and 10.4% in graduate programs. Final figures are expected in January 2027.
Do the data show that AI caused the decline?
No. The Clearinghouse figures track enrollment, not students’ reasons for choosing a program. AI may be one influence, but the source material also points to weak entry-level hiring, visa issues, changes in the technology labor market and shifts to other programs.
Are students leaving technical fields altogether?
The figures do not suggest a broad move away from every technical or career-focused field. At four-year colleges, engineering enrollment rose 6.1% and health professions enrollment rose 6.2% in fall 2026.
What do the figures say about entry-level tech jobs?
The source cites an Indeed software development postings index of about 81, with February 2020 set to 100, and says 4.5% of postings in early 2026 were classified as entry-level. Those measures describe a weak market, but do not show that AI alone produced it.
When will more reliable enrollment figures be available?
The National Student Clearinghouse Research Center expects its final fall 2026 figures in January 2027. They could differ from the preliminary estimates, which used data available from 46.0% of participating institutions as of September 24.
Source: ThorstenMeyerAI.com
