Computer Vision & Data Science (Master)
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Computer Vision & Data Science (Master)

Course duration
1 year
Starts in
September
Location
Leeuwarden
Diploma
Master of Science

The master's degree in Computer Vision & Data Science covers machine learning, deep learning, computer vision, mathematics and programming to give you a skillset to successfully find solutions to real-life problems. Working independently and in teams, your design, develop and test machine-learning algorithms, create and manage datasets, and then optimise these datasets to customer specifications. Taking responsibility for your own professional development, you develop the skills you need to guarantee your sustainable employability.

  • Earn your master’s degree in one year
  • Work with clients, domain experts and researchers on innovative and optimum solutions
  • Work with state-of-the-art equipment such as 3D cameras, high-performance computers with GPU and a range op optics and lighting
  • Graduate as an image data science professional
  • Combine academic and applied research
  • NHL Stenden offers first-year international students a housing guarantee through its accommodation partners. Check out our housing page for more information.  

     
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Overview

Diploma
Master of Science
Starts in
September
Location
Leeuwarden
Language
English
Course duration
1 year
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Accreditation
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Application deadlines

What can you expect?

The vast majority of data generated every day is image data, which is why image data analysis is one of the most important focus areas for modern Data Science and Artificial Intelligence. The field is evolving at such a rapid pace that the demand for image data science professionals is extremely high. In the future, any visual inspection task may be automated. It is therefore important that a new generation of applied researchers and engineers is ready to take advantage of the countless possibilities offered by modern data science.

Core tasks of an image data professional are:

  • Designing, developing and testing machine learning algorithms for automating visual inspections.
  • Creating, balancing and maintaining annotated datasets, in collaboration with domain experts.
  • Optimising and scaling the developed algorithms.
  • Carrying out methodologically correct research.
  • Keeping abreast of relevant and current trends and developments in the field.

The programme covers various topics such as machine learning, deep learning, computer vision, mathematics, programming and many more. As a student, you will learn to acquire the knowledge and skills to successfully find a solution to real-life problems. You will be supported by the experts of the professorship Computer Vision & Data Science who have been working in this field for many years.

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“This master programme appealed to me because Computer Vision & Data Science has become so big in a short time”
Maikel Boonstra
Master Computer Vision & Data Science Student
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Is this the degree for you?

If you're confident this degree is the one for you, then why not apply online straightaway? Or pick one of the other options to help you take the next step.