For institutions
The same return. Very different teams.
A university with 40,000 students and a college with 900 both submit against the same rules. What they need from a tool is different.
Large universities
For large and research-intensive universities
What you deal with
Tens of thousands of students across many faculties, complex fee and sponsor arrangements, research students reported to more than one body, and a governance process that needs evidence before sign-off.
How Lyceum Data helps
- Focused runs by faculty, school, course or cohort, so each team checks its own students
- Exceptions routed to the right owners, with a feed into your own work lists or dashboards
- Capacity that grows during the collection window, so full runs stay fast in deadline week
- An evidence pack for each run, recording the data, mapping and rules behind the result
- Dedicated hosting available, with its own database and UK residency
Smaller providers
For smaller providers and HE colleges
What you deal with
Often two or three people own the whole return alongside other work. Keeping up with 786 quality rules, and the changes each year, is a specialist job in itself.
How Lyceum Data helps
- HESA’s rules loaded and updated for every collection, with no in-house effort
- A short, prioritised list: what would be rejected first, then what would only warn
- Plain-English explanations, so you don’t need to decode rule definitions
- Shared UK cloud hosting, with nothing for your IT team to install or run
- Onboarding and training from our team
Any records system
Your records system stays as it is.
Whether you run SITS, Banner or a system built in-house, the only part of Lyceum Data that is specific to you is the mapping from your fields to HESA’s. Everything after that is the same for every provider, and tested the same way.
England and the Office for Students first. Wales, Scotland and Northern Ireland are planned for 2027.
Talk to us about your next return
Tell us how your return is prepared today. We’ll show you what Lyceum Data would do with your own data.