NHL Stenden

Computer Vision & Data Science

The centre of expertise Computer Vision & Data Science conducts applied research projects together with companies. You learn to develop innovative applications of Computer Vision & Data Science.



  • Semester: fall and spring

  • Level: second, third and final year

  • Prerequisites: some engineering and programming experience. Additional training is provided at the start of the semester.

  • Amount of ECTS: 30

  • Grading: 1-10

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Computer Vision & Data Science is enabling technology which is applied in many disciplines. For example: inspections of crops in precision agriculture or inspection of wind turbine blades, but also the development of software for medical use in microsurgery. Just a few examples of projects we perform at the moment. In the minor Computer Vision & Data Science, you develop knowledge and skills in this area.

You will learn the techniques and methods through a crash course during the first two weeks. Then a project will be chosen together with your supervisor. During your minor, you will run this project in the Centre of Expertise Computer Vision & Data Science. Here you have access to state-of-the-art equipment like 3D cameras, high-speed cameras, multispectral cameras, surround cameras, industrial cameras, many types of optics, lighting, and unmanned aerial vehicles (drones).

The main issue in this programme is obtaining raw sensor data (images) through information (measurements in pictures), and gaining knowledge from this. At Computer Vision, the focus is image acquisition and image processing, at Data Science, the focus is recognising patterns in that information (Big Data) with the help of, Deep Learning, among other ways. Data analysis is performed using Deep Frysian, a mini super-computer with 44 Xeon cores, 512 GB RAM, 98TB hard disk and 4 x NVIDIA Tesla P100s NVLINK (14,000 computing cores).



Are you interested in participating in our research lab as a minor student or (graduation)intern? Then please, send in a motivation letter with CV, both in English. You should view this as a job application. In your letter you mention your learning goals and what attracts you in our group. Based on your letter, we will check whether there is a match between your learning objectives and what we can offer. 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.

You will find more info about the registration on https://www.nhlcomputervision.nl/students/