UUni-VerseUniversity decision intelligence
Methodology

How Uni-Verse builds every university profile

Uni-Verse is designed to avoid thin directory content. Every school page uses the same interface system, but the value comes from live institutional data, local economic context, campus-area signals, transparent scoring, and school-specific interpretation.

Institutional layer
College Scorecard

Tuition, net price, admissions, student size, completion, debt, and post-attendance earnings.

Economic layer
U.S. Census ACS

County-level rent, income, home value, and poverty context around the campus location.

Campus-area layer
OpenStreetMap signals

Nearby nightlife, food, transit, convenience, and green-space density around the school.

Why the reusable template is still high value

The page system is consistent by design so users can compare schools quickly. The uniqueness comes from the data, the scoring outputs, the narrative summary, the campus context, the fit tool, and the alternatives.

The factor framework

Uni-Verse uses a 30-factor system organized into six decision pillars and one overall model score.

Affordability

Tuition, net price, debt load, and local economic pressure.

Access

Admissions accessibility, size balance, and student access proxies.

Academic strength

Retention, graduation, resource balance, and institutional stability signals.

Outcomes

Earnings, ROI pressure, and post-attendance value proxies.

Campus life

Food, nightlife, convenience, and surrounding activity density near campus.

Location

County context, transit access, green space, and local affordability backdrop.

Important interpretation notes