Michigan State University vs UCLA: admit rates, GPA and how Taiwanese applicants choose
OfferLand users have reported 95 application results for Michigan State University and 120 for UCLA; 30 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 | Michigan State University | UCLA |
|---|---|---|
| Country | United States | United States |
| QS ranking (2027) | #182 | #49 |
| US News ranking (2027) | #69 | #20 |
| Application results | 95 | 120 |
| Applicants | 89 | 120 |
| Admit rate | 54.7% | 50.0% |
| Median GPA (admitted) | 3.73 | 3.71 |
| Median TOEFL (admitted) | 99 | 103 |
| Most-reported fields | Electrical Engineering & Computer Science (33),General Engineering (15),Materials Science (9),Education (6) | Electrical Engineering & Computer Science (52),General Engineering (23),Materials Science (13),Business Analytics (10) |
Most-reported programs
Programs with at least 5 results, by number of results.
Michigan State University
| Program | Results | Admit rate |
|---|---|---|
| M.S. in Computer Science (Master's) | 17 | 17.6% |
| M.S. in Electrical Engineering (Master's) | 13 | 69.2% |
| M.S. in Mechanical Engineering (Master's) | 9 | 22.2% |
| M.S. in Materials Science and Engineering (Master's) | 8 | 87.5% |
| M.S. in Finance (Master's) | 5 | 100.0% |
UCLA
| Program | Results | Admit rate |
|---|---|---|
| Computer Science (Master's) | 27 | 11.5% |
| Electrical & Computer Engineering (Master's) | 20 | 25.0% |
| Materials Science & Engineering (Master's) | 13 | 92.3% |
| Management – Business Analytics MS (Master's) | 10 | 66.7% |
| Mechanical Engineering (Master's) | 9 | 77.8% |
Applicants to both schools
30 applicants reported results at both schools: 12 were admitted to Michigan State University, 10 to UCLA, and 6 to both.
Too few people admitted to both have reported a final choice (0) to show a preference.
AI summary (from OfferLand data and posts on the site, 2026-10-21)
In OfferLand's records, Michigan State (95 results) has a 54.7% admit rate and UCLA (120 results) 50%, not far apart; admitted median GPAs are 3.73 vs 3.71 and TOEFL 99 vs 103, slightly higher at UCLA. Both lean on EECS and engineering, and the CS master's is hard at each: Michigan State's M.S. in Computer Science admitted 17.6% of 17 results, UCLA Computer Science 11.5% of 27. Of 30 people who applied to both, 6 were admitted to both, and none reported a final choice.
- Materials science is much easier at both: 87.5% of 8 at Michigan State and 92.3% of 13 at UCLA; in mechanical engineering UCLA admitted 77.8% of 9 versus 22.2% of 9 at Michigan State.Source: data on this page
- An applicant to UCLA's Business Analytics MS says the professor interview finished its questions in about 20 minutes and then turned into casual chat; this applicant was not admitted.Source: University of California, Los Angeles (UCLA) Management – Business Analytics MS 面試心得
- UCLA's Full-Time MBA interview was run by a student interviewer, and the reviewer described it as a relaxed, easy conversation.Source: University of California, Los Angeles (UCLA) Full-Time MBA 面試心得
- A post sorting US marketing master's programs lists Michigan State as an example of a marketing research program, which the author describes as more technical and focused on collecting and analyzing market and customer data.Source: 分享美國四大熱門行銷所分類!
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.
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When citing these figures, please credit OfferLand. How the data is collected: About the data.