Ranking Methodology
Our Approach
UniList is an aggregation platform that compiles data from multiple authoritative ranking sources. We do not create our own rankings; instead, we present existing rankings in an accessible, comparable format to help you make informed decisions.
Data Sources
Financial Times (FT) Rankings
The FT Global MBA Rankings are based on criteria including salary increase, employment success, career progress, and diversity. We display FT rankings and associated metrics like average salary, employment rates, and career progression data.
QS World University Rankings
QS rankings evaluate business schools based on academic reputation, employer reputation, research citations, and international faculty/student ratios. We incorporate QS rankings to provide an academic perspective alongside career-focused metrics.
Key Metrics We Track
- Rankings: FT Rank, QS Rank, and specialized category rankings
- Salary Data: Average post-graduation salary and percentage increase
- Employment: Employment rates within 3 months of graduation
- Program Details: Duration, tuition, class size, and requirements
- Diversity: Gender distribution, international student/faculty percentages
- Location: City quality of life and cost of living indices
Tier Classifications
We classify programs into tiers based on FT Global MBA Rankings to help you quickly assess program prestige:
- Tier 1: Top 20 programs globally
- Tier 2: Ranked 21-50
- Tier 3: Ranked 51-100
Data Accuracy
We strive to maintain accurate, up-to-date information by regularly reviewing and updating our database. However, rankings and program details change over time. We recommend verifying current information directly with schools before making final decisions.
Transparency
All ranking sources and data points are clearly labeled throughout the platform. We believe in transparency and encourage users to understand the methodology behind each ranking system when evaluating programs.