AI
Postgraduaat

Applied Arti­fi­cial Intel­li­gence (ENG)

Voor wie

This postgraduate programme is designed for professionals and graduates who want to deepen their expertise with knowledge of artificial intelligence — or explore how AI can be applied within their own field.

The programme is particularly relevant for:

  • IT professionals who want to specialise in artificial intelligence or take their career in a new direction, for example towards data science or other AI-related roles.
  • Professionals from other fields who want to understand and apply AI within their own area of expertise.
  • Professionals who want to build AI expertise within their organisation and take an informed role in exploring, evaluating or implementing AI applications.
  • Researchers and PhD students who want to explore the practical application of AI within their field of research.

You need at least a bachelor’s degree and a basic knowledge of programming. Advanced programming skills are not required, but you should be familiar with the fundamental concepts of programming and willing to work with Python.

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  3. Applied Artificial Intelligence (ENG)
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Voor wie

This postgraduate programme is designed for professionals and graduates who want to deepen their expertise with knowledge of artificial intelligence — or explore how AI can be applied within their own field.

The programme is particularly relevant for:

  • IT professionals who want to specialise in artificial intelligence or take their career in a new direction, for example towards data science or other AI-related roles.
  • Professionals from other fields who want to understand and apply AI within their own area of expertise.
  • Professionals who want to build AI expertise within their organisation and take an informed role in exploring, evaluating or implementing AI applications.
  • Researchers and PhD students who want to explore the practical application of AI within their field of research.

You need at least a bachelor’s degree and a basic knowledge of programming. Advanced programming skills are not required, but you should be familiar with the fundamental concepts of programming and willing to work with Python.

What does the programme look like?

Artificial intelligence (AI) is developing at a rapid pace. This emerging technology has led to a whole new generation of applications that are changing the way we work and live.

In this one-year postgraduate programme, you will explore the technology, methods and applications behind artificial intelligence in greater depth. You will learn how data is prepared, how machine learning models are developed and trained, and how AI can be applied to concrete use cases.

In the first semester, you will build a solid foundation in AI Fundamentals, Data Science and Machine Learning. In the second semester, the focus shifts towards applications, projects and technologies such as AI in IoT and Big Data.

You are expected to have a basic understanding of programming. What does this mean in practice?

The postgraduate programme is highly practice-oriented. During various workshops, you will work with Python.
The key concepts you should be familiar with include: variables, basic arithmetic functions, string manipulation, loops and conditionals. Extensive Python knowledge is required, as we use advanced standard libraries during the classes.

Is attendance compulsory for every class?

No, attendance is not compulsory. However, one of the strengths of the programme is the personal interaction with lecturers and fellow students. All classes are also streamed and recorded, so you can watch them afterwards if you are unable to attend every session live. There are also group projects, so attendance is recommended for these projects.

When do classes take place?

Classes take place every Tuesday from 1 pm to 6 pm.
All classes are recorded, so if you are unable to attend, you can watch them online at your own pace afterwards.

What language is the programme taught in?

All courses are taught entirely in English. However, most lecturers can also answer your questions in Dutch.

Practical information

  • Duration: 1 academic year
  • Classes: Tuesday – 1 pm – 6 pm
  • Location: Campus Kaai – Nijverheidskaai 170, 1070 Brussels
  • Language: English
  • Degree: bachelor’s or master’s degree required
  • Programming skills: basic knowledge required
  • Internship: optional

Courses

We provide you with the tools, techniques and insights you need to develop into a versatile AI professional. After an introductory week, the first semester focuses on the foundations of artificial intelligence, with courses in Data Science, Machine Learning and Big Data. The second semester shifts towards applications such as Natural Language Processing (NLP), Large Language Models (LLMs), computer vision and deploying AI models in an enterprise environment.

You also have the opportunity to gain hands-on experience in the field through an optional internship at an AI-focused company.

AI Fundamentals

During the introductory week, you will explore the different facets of artificial intelligence. How do AI systems learn? Which techniques and applications are available? And what are the pitfalls, limitations and challenges you need to take into account?

Data Science

You will explore the complete data science workflow, from collecting and processing data to modelling a problem and deploying the resulting solution for end users.

Throughout the course, we pay close attention to the limitations and potential pitfalls of AI, while ensuring that the solutions you develop are ethically responsible and secure.

Machine Learning

You will dive deeper into one of the core disciplines of AI: machine learning.

Topics include regression and classification, neural networks, deep learning, genetic algorithms and clustering. You will learn how to train models using existing libraries, while critically assessing the data and understanding the limitations of the datasets you work with.

Internship

The optional internship gives you the opportunity to apply your knowledge to real-world challenges in a professional environment.

You will spend several weeks working with a company that actively develops or applies AI, gaining hands-on experience and insight into how AI is used beyond the classroom.

IoT & Big Data

The Internet of Things (IoT) is opening up new possibilities in areas such as smart cities, Industry 4.0 and e-health. At the same time, these applications generate vast amounts of data that need to be processed and transformed into meaningful information.

In this course, you will explore techniques for efficiently processing and visualising large datasets. You will also become familiar with edge computing and its role in reducing the processing load on cloud environments.

AI Project

In this course, you will explore state-of-the-art AI technologies and put your knowledge into practice. You will then develop your own AI project, individually or as part of a team, with guidance from our AI experts.

Previous student projects include:

  • Smart Home: an AI model to optimise household electricity consumption
  • Sign language: an AI platform that teaches sign language using computer vision
  • Facial recognition: drones that follow a person based on facial recognition
  • And many more.

Machine Learning Operations (MLOps)

In both professional and academic environments, many machine learning models are developed, but relatively few make it into a production environment. One of the reasons is that ML workflows are still often managed manually.

Machine Learning Operations (MLOps) addresses this challenge by bringing development, deployment and operational processes together.

In this course, you will explore the challenges involved in MLOps, examine different workflows and work with industry-standard MLOps tools.

View the course schedule 26-27

Internship

If you would like to apply your theoretical and practical knowledge directly in a professional setting, you can opt for an internship.

During several weeks, you will work on a concrete AI challenge within an organisation, giving you the opportunity to put your knowledge into practice in a professional environment.

In the past, our students have completed internships at organisations such as ML6, imec and Human.ai.

You are responsible for finding your own internship placement. EhB supports you in this process with an overview of organisations where students have completed internships in the past.

Would you rather focus entirely on the programme? You can also complete the postgraduate programme without an internship.

After your studies

After completing this postgraduate programme, you will have a broad and solid foundation in applied artificial intelligence.

You will understand the principles behind data science and machine learning and have hands-on experience developing and applying AI models and techniques. You will also be better equipped to critically assess both the possibilities and limitations of AI.

This combination makes the programme relevant if you want to further specialise within your current role, integrate AI into a professional context, or take the next step towards a role where AI and data are central.

Where will you study?

Campus Kaai

  • Located in Anderlecht
  • Brussels is the beating heart of the IT and multimedia industry
  • Close to Brussels-South railway station
  • IT campus with MediaLab, FabLab, Design Lab and Network Lab
  • Arts campus with musical theatre, theatre and drama programmes
  • Student restaurant serving hot meals, sandwiches, salads, soups and more
  • Green outdoor space to relax and study
  • Easily accessible by train, metro, bike and scooter
  • Large parking area

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Tuition fees

Registration fee

  • With internship: €2,040
  • Without internship: €1,890

Material costs

  • The rental of equipment needed for projects is included in the tuition fee.
  • Use of Pluralsight is optional. If you choose to use it, there is a one-time fee of €80 per academic year. If you would like to purchase access, please send us an email.

Open days

Throughout the year, we open the doors of our campuses at several moments. You are welcome to meet lecturers and students, take a tour of the campus, get a taste of our courses and ask any questions you may have about the programme and enrolment.

  • Wednesday 27 January 2027, 5 pm–8 pm
  • Saturday 13 March 2027
  • Saturday 24 April 2027
  • Saturday 26 June 2027
  • Saturday 4 September 2027
  • Wednesday 8 September 2027

Enrolment

Ready to enrol? Great! You can start your enrolment on this page. You can complete the entire enrolment process online, visit our student administration office in person, or enrol during our next open day.

Student administration opening hours

Admission requirements

  • You hold a bachelor’s or master’s degree.
  • You have a basic knowledge of programming. If you don't, we offer an introductory one-year programming programme to help you prepare.

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