The California Institute of Technology (Caltech) maintains one of the most rigorous and specialized undergraduate admissions processes in the world. Known for its unparalleled focus on STEM and a profoundly small target class size, Caltech consistently posts acceptance rates that mirror or fall below those of the Ivy League. For prospective students, understanding the institute's recent application data, waitlist trends, and yield metrics is critical to putting the sheer competitiveness of a Caltech acceptance into perspective.

California Institute of Technology Admissions Statistics: Class of 2030 (Predicted)

In March 2026, Caltech concluded its admissions cycle by extending offers to 428 students for the incoming Class of 2030 [2]. Based on this figure and historical application volumes, our analysis predicts an overall acceptance rate of 3.5% for the Class of 2030.

While the official number of total applicants has not yet been formalized via the Common Data Set, Caltech's applicant pool typically hovers between 12,000 and 14,000 candidates. Admitting 428 students represents a slight increase in offers compared to the previous cycle, but the mathematical reality of the admissions funnel remains intensely fierce.

Note: We will update this section with the official Common Data Set statistics and visual admissions pipelines as soon as Caltech releases its complete Class of 2030 data.

Class of 2029 Admissions Statistics

The official Class of 2029 cycle paints a clear picture of Caltech’s extreme selectivity. From a robust pool of 13,856 applicants, the university admitted only 356 students, resulting in a staggering 2.57% acceptance rate [1]. Ultimately, 218 students chose to enroll, yielding a strong 61.2% yield rate.

Waitlist Breakdown

Caltech's waitlist data for the Class of 2029 reveals a strategic approach to finalizing its tiny incoming cohort:

• Students offered a place on the waitlist: 206
• Students who accepted their place: 171
• Students ultimately admitted from the waitlist: 41

Insight: Admitting 41 students from a pool of 171 active waitlist candidates represents a high waitlist conversion rate (approximately 24%) compared to peer institutions [1]. This shows that Caltech actively utilizes its waitlist to dial in exact enrollment targets rather than over-admitting in the Regular Decision round.

Historical Acceptance Rate Trends

Our analysis shows that Caltech's acceptance rate has steadily compressed over the past decade, placing it permanently in the single digits.

• Class of 2027: 2.69% (16,626 applicants, 448 admitted)
• Class of 2028: 3.14% (13,107 applicants, 412 admitted)
• Class of 2029: 2.57% (13,856 applicants, 356 admitted)

Unlike broader comprehensive universities, Caltech's applicant volume fluctuates uniquely based on the shifting landscape of top-tier STEM talent. For example, the surge to 16,626 applicants for the Class of 2027 dramatically pushed the admit rate down to 2.69% [1]. Even as applications normalized to roughly 13,800 for the Class of 2029, the concurrent drop in admitted students resulted in a new low of 2.57%.

Next Steps: The consistent takeaway for future applicants is that Caltech’s target class size is exceptionally small—typically enrolling fewer than 250 freshmen annually. This leaves virtually no margin for error, meaning prospective students must evaluate these statistics as a baseline reality of applying to one of the world's premier scientific institutes.