Michigan State University vs UIUC: admit rates, GPA and how Taiwanese applicants choose
OfferLand users have reported 95 application results for Michigan State University and 230 for UIUC; 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 | Michigan State University | UIUC |
|---|---|---|
| Country | United States | United States |
| QS ranking (2027) | #182 | #74 |
| US News ranking (2027) | #69 | #34 |
| Application results | 95 | 230 |
| Applicants | 89 | 214 |
| Admit rate | 54.7% | 68.3% |
| Median GPA (admitted) | 3.73 | 3.70 |
| Median TOEFL (admitted) | 99 | 102 |
| Most-reported fields | Electrical Engineering & Computer Science (33),General Engineering (15),Materials Science (9),Education (6) | Electrical Engineering & Computer Science (100),Finance & Investment (27),General Engineering (25),Information Technology (24) |
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% |
UIUC
| Program | Results | Admit rate |
|---|---|---|
| Computer Science, M.C.S. (Master's) | 58 | 39.7% |
| Electrical and Computer Engineering, M.Eng. (Master's) | 35 | 60.0% |
| M.S. in Finance (MSF) (Master's) | 27 | 100.0% |
| Information Management, Master of Science (Master's) | 21 | 95.2% |
| Materials Science & Engineering, MS (Master's) | 12 | 83.3% |
Applicants to both schools
38 applicants reported results at both schools: 15 were admitted to Michigan State University, 23 to UIUC, and 13 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 results reported to OfferLand, UIUC's overall admit rate (68.3%, 230 results) is higher than Michigan State's (54.7%, 95 results), while admitted students' median GPA is about the same (3.70 vs 3.73) and UIUC's median TOEFL is slightly higher (102 vs 99). The overall rate depends on the program mix: UIUC's reports include many finance master's applicants (all 27 MSF results were admits), and in CS alone, MSU's M.S. in Computer Science has a 17.6% admit rate across 17 results versus 39.7% across 58 for UIUC's MCS. Thirteen applicants were admitted to both, but none reported which one they chose, so there is no preference signal yet; program-level samples are also small, so check the individual program before deciding.
- Both schools' reports are mostly EECS: 33 for MSU and 100 for UIUC. UIUC also has 27 finance and 24 information-related reports, while MSU has 15 engineering and 9 materials science reports.Source: data on this page
- An NTU electrical engineering graduate with a 3.66/4.0 GPA and a TOEFL of 105 was rejected by UIUC's MCS, and was admitted to CS programs at UCSD, Rice and others the same year.Source: 2023 Fall CS 申請心得
- A post sorting US marketing master's programs lists Michigan State as an example of the Marketing Research type, which the author describes as a more technical track focused on collecting and analyzing market 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.