Stanford University vs UCB: admit rates, GPA and how Taiwanese applicants choose
OfferLand users have reported 69 application results for Stanford University and 94 for UCB; 38 applicants applied to both. The table puts admit rates, admitted applicants’ scores, top fields and programs side by side.
Self-reported sample from OfferLand users, not official school data; figures based on fewer than 5 results are not shown. Data as of 2026-10-22.
Side by side
Admit rate = (admitted + enrolled) ÷ (admitted + enrolled + rejected); waitlisted and pending results are left out. Median GPA and TOEFL count each admitted applicant once. Figures based on fewer than 5 results are not shown.
| Metric | Stanford University | UCB |
|---|---|---|
| Country | United States | United States |
| QS ranking (2027) | #2 | #20 |
| US News ranking (2027) | #5 | #20 |
| Application results | 69 | 94 |
| Applicants | 68 | 94 |
| Admit rate | 14.5% | 30.9% |
| Median GPA (admitted) | 3.92 | 3.81 |
| Median TOEFL (admitted) | 105 | 102 |
| Most-reported fields | Electrical Engineering & Computer Science (38),Materials Science (10),General Engineering (8),Environmental Science (3) | Electrical Engineering & Computer Science (46),General Engineering (12),Materials Science (9),Information Technology (8) |
Most-reported programs
Programs with at least 5 results, by number of results.
Stanford University
| Program | Results | Admit rate |
|---|---|---|
| Computer Science (Master's) | 16 | 0.0% |
| Electrical Engineering (Master's) | 15 | 6.7% |
| Materials Science and Engineering (Master's) | 8 | 12.5% |
UCB
| Program | Results | Admit rate |
|---|---|---|
| Electrical Engineering & Computer Sciences (Master's) | 38 | 15.8% |
| Information Management & Systems (Master's) | 8 | 0.0% |
| Materials Science & Engineering (Master's) | 7 | 71.4% |
| Electrical Engineering & Computer Sciences (PhD) | 6 | 0.0% |
Applicants to both schools
38 applicants reported results at both schools: 7 were admitted to Stanford University, 9 to UCB, and 1 to both.
Too few people admitted to both have reported a final choice (1) to show a preference.
AI summary (from OfferLand data and posts on the site, 2026-10-21)
Both schools have low admit rates in OfferLand results: 14.5% for Stanford (69 results) and 30.9% for UC Berkeley (94 results), with admitted students' median GPA at 3.92 vs 3.81 and median TOEFL at 105 vs 102. Most reports for both are in EECS, but none of the 16 Stanford CS master's results were admits and its EE master's rate is 6.7% across 15, while Berkeley's EECS master's rate is 15.8% across 38. Only one applicant was admitted to both, and that person chose Stanford, which is far too small a sample to read as a trend.
- A Stanford MBA interviewee describes the interview as friendly but thorough: the interviewer probed the background of each story, the specific actions they took and how others reacted. The interviewee felt that knowing your own stories well is enough to handle it.Source: Stanford MBA 面試心得
- A Berkeley MBA interviewee says the interviewer began by outlining the structure, stressed that it was informal and that they would take detailed notes, then asked several follow-ups on each answer.Source: UC Berkeley Full-time MBA Program 面試心得
- A life sciences graduate from Yang-Ming worked as a research assistant at UC Berkeley for two years; the first round of PhD applications all failed, and the author was admitted to Caltech's neurobiology PhD the second year.Source: 台灣畢業到美國當研究助理！DIY 申請上 Caltech 神經生物學博士！ft. 阿雲ㄉ美國生存筆記
- A statistics graduate from NCKU with a 4.1/4.3 GPA and a TOEFL of 109 was rejected by Stanford's MS&E financial engineering track, while being admitted to programs at CMU, Oxford and Yale the same year.Source: 【MFE, Stats, DS 碩士申請】Yale | CMU | Oxford | MIT
Written by AI from the data on this page and the cited posts and interview reports. It may contain mistakes and is neither official school information nor application advice; check the original posts and the schools’ own announcements.
More
When citing these figures, please credit OfferLand. How the data is collected: About the data.