Data models that support AI: from conceptual model to scalable, documented implementation.
A good data model is a quiet win: data becomes reusable, integrations become simpler and AI applications get a stable foundation. A bad model is paid for over years in custom workarounds.
What's new is that AI itself now helps: generating, documenting and testing models. You learn to model with that help — but with the craftsmanship to judge the result.
You model a domain from your own organisation — including validation with the people who use the data every day.
A CRM administrator models a single customer view across four systems — the basis for every next AI step.
A controller designs a star schema that takes reporting from days to minutes.
An adviser structures the conceptual framework of his field so that an assistant can reason with it reliably.
You take this module the way you take the whole programme: classes every other week on Friday and Saturday, with a study load of 15–20 hours per week, of which 10–15 hours are self-study. The teaching is a mix of classroom lessons, practice-based learning, blended learning and working groups or study teams — taught by lecturers who practise the profession themselves every day.
You conclude each theme with a professional product or a technical solution based on a real situation in your own work, which you discuss in an assessment with the lecturer. This way your portfolio grows with real work — and your employer benefits directly.
After this module you deliver a widely supported data model for your own domain, validated with the business.
Email or call the programme — we're happy to help you think it through.