In the part-time Applied AI programme, your employee carries out almost every assignment within their own organisation. That means: four years of AI implementation capacity in-house — while your employee simply keeps working.
Every module concludes with a professional product addressing a real situation in your organisation. This is the timeline.
Your employee maps where AI adds value in your organisation and builds the first working bots for their own team.
The preconditions for responsible AI are put in order: frameworks, data quality and connected data sources.
From stand-alone bots to collaborating AI agents in your processes — including human control points and monitoring.
The graduation project: a full-fledged AI implementation in your organisation, from design to operations — at professional bachelor (BSc) level.
The tuition fee rarely has to come from a single budget. The most common routes:
Many organisations reimburse programmes that contribute directly to the job — and every module here does. Often subject to a repayment agreement on departure.
Many collective agreements include a personal development or training budget per employee. Check your sector's CAO for training entitlements.
Those no longer entitled to regular student finance can borrow for tuition fees from DUO on favourable terms.
Training costs paid by the employer are, under certain conditions, specifically exempt — consult your administrator or accountant.
Schemes and conditions change; check the current conditions with DUO, your CAO and your tax adviser.
Subject: Proposal: part-time Applied AI programme alongside my job Dear [manager's name], I would like to enrol in the part-time professional bachelor (BSc) Applied AI (HU University of Applied Sciences Utrecht, classes every other week on Friday and Saturday). I will remain fully available for work. What it delivers for us: - I carry out almost every assignment within our own organisation — in year 1 I already deliver an AI business case and a first working bot. - This is followed by data quality and governance (year 2), AI agent-workflows for our processes (year 3) and a full production implementation as my graduation project (year 4). - I build up knowledge of responsible AI use (AI Act, GDPR) that we need right now. What I am asking: - [Reimbursement of the tuition fee / partial reimbursement] through our study-costs scheme. - Understanding for the study load (15–20 hours per week, largely in my own time). Could we discuss this briefly? More information for employers is available at: [link to this page] Kind regards, [name]
Even without an employee of your own in the programme, your organisation can benefit: submit a project or graduation assignment. A student works on your AI challenge under supervision — from process analysis to a working agent solution — and you get to know potential new talent.
Offer an assignmentEmail or call — or view the full programme on hu.nl.