DATA SOURCES

# transparency is at the core of unilist

OVERVIEW

UniList aggregates data from multiple authoritative sources. Each data point is attributed to its source for full transparency.

We combine quantitative rankings with qualitative insights gathered through AI-powered analysis.

SOURCES

Financial Times 2025

FT Rankings based on alumni survey, employment outcomes, and salary data

[2025]

data_points:

- official FT rankings (overall rank, tier)

- career outcomes (salary, increase, employment)

- program details (tuition, duration, demographics)

- diversity metrics (gender, international)

- academic quality (faculty doctorates, research)

methodology:

Based on alumni surveys 3 years post-graduation, measuring career progression, salary growth, and professional development. Also incorporates school data on faculty quality, research output, and diversity.

[financial times →]

QS World Rankings 2025

QS Rankings for Masters in Marketing and Business Analytics programmes

[2025]

data_points:

- QS World University Rankings positions

- subject-specific rankings (business, management, finance)

- academic reputation scores

- employer reputation metrics

- research citations and faculty-student ratios

methodology:

Multi-faceted approach: academic reputation (40%), employer reputation (10%), faculty-student ratio (20%), citations per faculty (20%), international faculty (5%), international students (5%).

[qs rankings →]

Gemini AI

Web-extracted data via Gemini AI from official university websites

[AI]

data_points:

- student reviews and sentiment summaries

- program descriptions and unique features

- admission requirements and processes

- career services and support offerings

- campus life and student experience

methodology:

Using Gemini AI (2.5 Flash), we extract and analyze qualitative information from official websites, review platforms, and educational forums. AI processes thousands of reviews to generate balanced, representative summaries.

# AI-extracted data is continuously validated and updated. Review summaries represent aggregate sentiment.

Numbeo

Cost of living and quality of life data aggregated via Gemini Web Grounding

[crowdsourced]

data_points:

- cost of living index (relative to NYC=100)

- quality of life scores (0-10)

- safety and crime statistics

- healthcare quality indices

- climate and environmental data

methodology:

World's largest crowdsourced database of city information, collecting data from millions of users. Cost of Living Index uses New York as baseline for standardized comparisons.

[numbeo →]

Mercer

Quality of life metrics from Mercer QoL surveys, aggregated via Gemini

[enterprise]

data_points:

- quality of living rankings

- political, economic, social assessments

- medical and health considerations

- schools and education quality

- public services and transportation

methodology:

Designed for multinational companies compensating international employees. Rankings evaluate 230+ cities based on 39 factors in 10 categories. Data collected by Mercer consultants.

[mercer →]

Manual Research

Data collected through manual research and verification

[verified]

data_points:

- program-specific details from official websites

- specialized programs not in major rankings

- updated contact info and deadlines

- unique program features

- cross-verification and validation

methodology:

Research team manually collects and verifies information from official websites, admissions materials, and publications. Each data point verified by 2+ researchers with documented sources.

# Quality assurance: standardized protocol with peer review. Sources documented with URLs and access dates.

DATA QUALITY

update_frequency:

- ft & qs: annually (sep-oct)

- quality of life: quarterly

- ai content: every 6 months

- manual research: continuous (3mo cycles)

contact:

report issues: data@unilist.com

[← back to home]