Launching in 2020, our database was the first to introduce new metrics and fields to standardise  fee data after listening to sector feedback. This includes a comprehensive list of all course variants,  course indexes to distinguish award levels and part-time variants, a primary key  for seamless historic data integration, granular subject groupings (HECOS and CAH3),  annualised fee conversion to standardise PGT fees and a new course identifier  introduced in 2022. Our detailed and comprehensive solution includes:

• All UK Universities – Including UKPRN, INSTID, University Affiliate Group and Region
• All UG Courses (Home and International Fees) – Including UCAS course code
• All UG Course IELTS and A-Level entry requirements (no additional cost)
• All PGT Courses (Home and International Fees)
• Foundation, Bachelors, Masters, PGDip, PGCert
• Full Time and Part Time
• On Campus, Blended and Distance Learning
• Duration of Course
• Unique identifiers including UKPRN, UCAS Course Codes, Database Primary Key to link to previous years and Course Index to identify parent courses
• JACS Principal Subject, CAH3 and HECoS groupings for all courses
• Fee Type Identified i.e. Annual vs. Total
• Annualised fee included for all courses
• The only database available that contains every variant of an individual course (e.g. Part Time, PGDip, PGCert and DL) to give complete picture of the landscape.

• October: First database release of early publishers.
• January: All Russell Group HEIs**
• April: All HEI providers**
• May: 20 new, additional private HEIs.

This is three months earlier than is traditionally available to UK Universities, with updated releases available monthly from October.

**Subject to university fee publication date

In order to deliver the detailed and timely solution that universities require to effectively conduct fee setting and portfolio reviews, our data science team deploy a 3 stage process to ensure data quality, accuracy and completeness.

1. Data collection: data science methodology used to automatically download data from respective university sources.

2. Data cleaning: ensure data for each university is consistent and consequently fits into our database template.

3. Data checking: thorough and comprehensive check of all data entries against data sources.

Our database is designed for seamless integration in Business Intelligence (BI) software by following a structured schema and consistent data integrity rules. In addition, the team at S Squared Insights are happy to assist UK universities in data integration.