Every ranking site publishes one acceptance rate per university. For a student choosing a major, that number is close to useless — you apply to a programme, and programmes inside the same university can differ by a factor of five.
Each row compares a university's advertised acceptance rate against its most competitive published programme.
| University | Headline | Hardest programme | Its rate | Gap |
|---|---|---|---|---|
| University of Washington | 43% | Computer Science | 2% | 21.5× |
| UCLA | 9% | Nursing | 0.5% | 18.0× |
| University of Illinois Urbana-Champaign | 36.6% | Computer Science | 7.2% | 5.1× |
| Carnegie Mellon University | 11.07% | Computer Science | 4% | 2.8× |
| University of Texas at Austin | 31% | Computer Science | 12% | 2.6× |
| Georgia Tech | 15% | Computer Science | 6% | 2.5× |
| University of Michigan | 17.9% | Business | 8% | 2.2× |
| UC Berkeley | 11% | Business | 5% | 2.2× |
| Villanova University | 25% | Nursing | 14.5% | 1.7× |
| Cornell University | 8% | Business | 5% | 1.6× |
| New York University | 7.7% | Business | 5% | 1.5× |
| Purdue University | 43.4% | Engineering | 34.7% | 1.3× |
| University of Pennsylvania | 5.4% | Business | 4.5% | 1.2× |
Large universities admit into colleges, not into the university as a whole. A computer science applicant at a school with a direct-admit CS programme is competing against other CS applicants for a fixed number of seats, not against the general pool. The published rate averages the competitive programmes with the quiet ones, so it describes nobody.
The effect is strongest in computer science, business, nursing and engineering — the four fields where applications have grown fastest. It is weakest in the humanities and in universities that admit undeclared.
These are published institutional figures, not predictions. Admission decisions also rest on essays, recommendations and institutional priorities, which no calculator can see. Not affiliated with any university.