Applied AI NL
part-time · professional bachelor · utrecht

Applied AI, part-time.

The practice-oriented part-time professional bachelor for working professionals: learn to apply AI responsibly in your organisation — from bots and agent workflows to data management. Modular in structure, at your own pace, taught by lecturers from professional practice.

Two profiles · year 1 together, choose from year 2
01 gen ai makers

Gen AI Makers

Dive into generative AI: advanced prompting and context engineering, building bots, and AI agent teams and workflows that genuinely take work off your hands. For those who want to build solutions with the latest AI.

view the modules →
02 ai classic makers

AI Classic Makers

Become strong in data analysis and classic AI: statistics, analytical skills and data science — building, evaluating and explaining predictive models. For those who want to ground AI in data.

view the modules →
The structure

Modular & your own pace

The programme is modular, so you study at your own pace and tailor your route to what you already know and want to learn.

Personal learning route

Together with a study adviser you put together a learning route that fits your background and goals.

Lecturers from professional practice

Practice- and competence-oriented education, taught by lecturers who work in the field themselves.

Combines with your job

Classes every other week on Friday and Saturday, with a study load of 15–20 hours per week alongside your work.

Try it yourself

Talk to a lesson bot

In every class you work with bots that explain, give feedback and practise with you. This is what that feels like:

Lesson bot demo

This is a scripted demo. In the programme you work with real AI bots that respond to your questions and your level — read how that works.

The programme · Applied AI

Four years, four start moments per year. You take year 1 together; from year 2 you choose one of two profiles: Gen AI Makers or AI Classic Makers. In addition, continuous learning strands run through the entire programme.

Gen AI Makers AI Classic Makers

Year 1

Everyone together
  • SeptemberValue Contribution of AI
  • NovemberMaking Bots
  • FebruaryFundamentals of ICT
  • AprilDigital AI-driven Processes

Year 2

By profile
  • SeptemberFrameworks and Business Requirements for AI
  • NovemberAI Prompt & Context EngineeringGen AI Makers
  • NovemberAnalytical Skills for AI ModelsAI Classic Makers
  • FebruaryAI-driven Data Integration & Interoperability
  • AprilData Quality and Governance for and with AI

Year 3

By profile
  • SeptemberAI-driven Data Modelling
  • NovemberAI Agent Teams & WorkflowsGen AI Makers
  • NovemberData ScienceAI Classic Makers
  • FebruaryAI-driven Service Design
  • AprilReliable Decision Making & Compliance Monitoring

Year 4

By profile
  • SeptemberAI-driven Management of AI Implementations
  • NovemberProject Assignment: Agent Solution and Data Management ImplementationGen AI Makers
  • NovemberProject Assignment: Data Science and Data Management ImplementationAI Classic Makers
  • February – AprilGraduation in Applied AI
ongoing Professional Skills| Data & AI Literacy| Agile & Scrum| Ethics

See what you learn in each module →   Discover how you learn →

Your lecturers

Taught by people who do the work themselves

Our lecturers do more than stand in front of a class. During the week they are with clients: building AI solutions, setting up data management and advising boards on the responsible use of AI. What they tell you on Saturday, they experienced themselves that week — including what went wrong and how they fixed it.

And they teach out of passion. Because they want to pass on the profession, not because they have to. You notice it: real cases instead of textbook examples, honest stories about what did and did not work, and always room for your question from your own practice. Small groups, short lines — your lecturer knows your name and your work context.

"You're taught by someone who did the job yesterday — and will do it again on Monday."

Your career

Advance without giving up your job

This programme is made for professionals who are already working and want to progress to professional bachelor level. You don't have to choose between learning and working — your job is your learning environment.

Today

You already work with data, processes or IT and want more depth, responsibility and recognition. You have the experience — the degree and the AI expertise come here.

During the programme

What you learn on Saturday, you apply on Monday. Assignments and projects are done in your own organisation — you grow, and your employer sees immediate results.

After graduation

The BSc title plus a portfolio of real AI implementations. Progress into roles such as generative AI engineer, AI consultant, AI and data analyst, AI product manager or AI service manager.

Read more about your career →

Alumni

Those who went before you

Learning with AI
The feedforward bot was my secret weapon. Every assignment went past it first, and only then got handed in. My first drafts improved every month because of it.
Ruben AltenaGenerative AI engineer, logistics
Work & study
What I learned on Saturday was in my calendar on Monday. My employer saw every module reflected directly in results — and gladly paid for years two to four.
Dennis BloemendaalProcess analyst, bank
Read all alumni stories →
Practical
degree Part-time professional bachelor (BSc)

A four-year part-time programme leading to an accredited bachelor degree.

class days Friday & Saturday, every other week

Friday 13:00–19:30 and Saturday 10:00–16:30, fortnightly.

location Utrecht Science Park

Heidelberglaan 15, Utrecht — easy to reach by public transport.

fees From €2,694 per year

Statutory tuition fee (minimum rate, VAT-exempt), plus around €450–800 per year for books and a laptop.

start 1 September or 1 February

Enrolment closes on 31 August and 31 December respectively.

language Taught in Dutch

Classes, materials and coaching are in Dutch. A good command of Dutch is required.

Questions about the programme?

Wondering which profile suits you?

Plan a short call, email or phone the programme — or try the profile finder first.