Computer Vision & Data Science

Do you want to work with state-of-the-art equipment like a mini super-computer, 3D-cameras, hyper- and multispectral cameras and JetBots? And learn to develop innovative applications of Artificial Intelligence and Computer Vision? Then the minor Computer Vision & Data Science is of your interest!

At Computer Vision, the focus is image acquisition and image processing, at Data Science, the focus is recognizing patterns in that information (Big Data) with the help of, among others, Deep Learning.  During your minor you will be working together with an experienced team of engineers, researchers and professors (of applied sciences) on challenging research projects. 


Study start

  • February
  • September


  • Leeuwarden


  • English

European credits

  • 30 EC's

Minor type

  • For specific bachelor programmes

Subject area

  • IT & Media
  • Technical

Minor content

You study with us full-time for the length of a semester, you can start each semester (Sept or Feb). The semester starts with a compulsory kick-off course on Computer Vision & Data Science. During this course the basics are explained. After this, projects are awarded to the students based on personal interests and technical background. For the remainder of the semester you will, in a group or individually, work on an real-life applied research projects from one of our partner companies. 

 Progress is discussed in weekly SCRUM meetings and there is ample opportunity to ask questions. Students and staff work in two adjacent rooms. We are a small and flexible team and communication lines are short. In monthly sprints you work towards an end product, consisting of a technical paper, poster, presentation and a demonstrator/proof of concept.

Structure of the minor

Location: Rengerslaan 10 in Leeuwarden, G2.007 
Period: each semester for the duration of a semester 
Level: HBO bachelor (2nd, 3rd, 4th year) 
Size: 30 EC 
Sort: Full time 
Language: English 

Learning objectives
At the end of the minor or internship you can design, develop, and research a Computer Vision and Data Science application. You will get familiar with the following aspects: 

  • Image acquisition and configuration of a vision system (camera, lens and illumination) 
  • Image segmentation, image classification, object detection or object counting using deep learning and computer vision. 
  • Validation and optimization of algorithmic performance on datasets. 
  • Programming and using libraries and software tools. 
  • Applied research methodology and writing a technical paper. 
  • Project management using SCRUM. 
  • Design Based Education in short prototyping cycles. 

Learning outcomes

  • The student selects and tests within a team and methodologically correct, machine-learning algorithms that automate visual inspections that meet project specifications. 
  • The student creates and manages, under supervision, a representative annotated and balanced dataset with the required quality to develop and test machine-learning algorithms.  
  • The student develops himself to promote his own sustainable employability and contributes to the development of the professional practice.  

The start of the minor consists of a mandatory kick-off in which the students receives a course in Computer Vision & Data Science. After that they will work on an applied research project with flanking education. The teaching method of the minor is characterized by designed based education and designed based research. 


Students will be assessed on their final technical products and the presentation of the research results at the Symposium of Computer Vision & Data Science.

Admission requirements

This minor is the place for students who want to learn more about image data analysis. This minor is therefore extremely suitable for students who have an affinity with programming, mathematics, applied research, computer vision and data science. This makes the minor a good match with various studies from the technical bachelor's education, such as (technical) computer science and mathematical engineering, but also chemical technology and electrical engineering

For admission we ask a motivation letter (in Englisch), including CV at There will be an intake before admission to the minor.  Note, there is a maximum number of places available per semester. Admission is based on suitability and orderliness. It is therefore important to express your interest in time.  

Requirements are technical propaedeutic diploma and some engineering and programming experience. The student needs to have basic knowledge and experience with Python. Additional Computer Vision and  Data Science training is provided at the start of the minor. 


Do you have questions about this minor? Ask them via the online form.