The methodology
This ranking combines four categories into a single composite score (0-100) per program. Every weight below lives in one config file in the source code (src/config/weights.ts), so it can be retuned without touching any scoring logic — and this page is generated from that same file, so it never drifts out of sync with what was actually computed.
| Category | Weight | Metrics (weight within category) |
|---|---|---|
| Career Outcomes & Industry Reputation | 35% |
|
| Academic Research & Faculty Quality | 30% |
|
| Admissions Selectivity | 20% |
|
| Internship / Placement Pipeline | 15% |
|
▸ Why this split
Career outcomes & industry reputation (35%) is the largest single bucket, echoing how US News weights undergraduate outcomes most heavily in its own methodology: for a professional degree like hospitality administration, what happens to graduates is the most direct signal of program quality.
Academic research & faculty quality (30%) mirrors US News's faculty-resources and peer-assessment buckets, and QS's academic-reputation and citations-per-faculty categories — but weighted lower than QS's combined ~60% research/reputation emphasis, since hospitality is a vocational, apprenticeship-driven field rather than a pure research discipline.
Admissions selectivity (20%) is deliberately modest, echoing US News's own recent de-emphasis of test-score-driven selectivity in its undergraduate methodology.
Internship / placement pipeline (15%) has no direct analog in US News or QS. It is included because hospitality education is built around supervised work experience, and hospitality-specific rankings (e.g. CEOWORLD's) treat placement-pipeline strength as a first-order signal distinct from the outcomes it eventually produces.
▸ Normalization
Every raw metric (dollars, percentages, ratios, counts) is converted to a 0-100 scale via min-max normalization against the current set of ranked programs — so scores are always relative to the active field, not fixed thresholds, and are recomputed every time the pipeline runs. Metrics where lower is better (like acceptance rate) are inverted before averaging.
When a program is missing a metric, that metric is excluded and the remaining metrics in its category are re-weighted proportionally — a program is never penalized to a worst-possible score just because one data point hasn't been sourced yet. Instead, each program's profile page and the rankings table show a data completeness percentage, so readers can see how much of a program's score rests on verified data versus how much is still outstanding.
▸ Minimum data to be ranked
A composite score computed from one or two sourced metrics isn't a meaningful comparison against a program with a dozen verified data points — but the re-weighting rule above means a sparse program's one strong metric can otherwise dominate its (nearly empty) composite score. To prevent data sparsity itself from producing a misleadingly high rank, a program needs at least 30% of tracked metrics sourced to receive a numeric rank. Programs below that threshold are still scored and shown — nothing is hidden — but listed separately as not yet ranked rather than competing against better-documented programs.
▸ How this compares to other hospitality rankings
CEOWORLD Magazine publishes a well-known hospitality & hotel management ranking, but its methodology is reputation/survey-weighted and does not disclose per-metric, per-program sourcing. This project's explicit goal is the opposite: every number behind every score is individually cited and dated, visible on each program's profile page and aggregated on the sources page. Where a reliable public source doesn't yet exist for a metric — recruiter reputation is the clearest example — that gap is stated outright rather than filled with an estimate.