Everything comes together: a data science solution with the accompanying data management, actually implemented at an organisation.
This is the dress rehearsal for your graduation: proving that you can work end-to-end — from a client's question to a working, validated model in use.
The assignment is deliberately integral: model and data and frameworks and people. A model that nobody uses or nobody can explain does not count.
You carry out the assignment in your own organisation or for an external client — with real users and real data.
A participant implements a demand forecast, including data pipeline, at their own employer.
A pair builds a capacity model for a healthcare organisation, including quality assurance of the source data.
Every assignment ends with a working model, documentation and a trained administrator.
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 project assignment you have an implemented data science solution plus implementation dossier to your name.
Email or call the programme — we're happy to help you think it through.