Master Computer Vision & Data Science

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The Master's in Computer Vision & Data Science at NHL Stenden Hogeschool is a one-year program that equips students with the skills to solve real-life problems using machine learning, deep learning, and computer vision. Combining academic research with practical assignments, the program prepares graduates for careers in image data science, a field with high demand due to the vast amount of image data generated daily. Students work closely with industry, conducting research for specific companies, ensuring their thesis addresses current issues and integrates academic theory with practical insights.

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Degree Overview:

The Master's degree in Computer Vision & Data Science is a full-time, one-year program offered at NHL Stenden Hogeschool in Leeuwarden, Netherlands. The program aims to equip students with the skills to solve real-life problems using machine learning, deep learning, computer vision, mathematics, and programming. Students will design, develop, and test machine-learning algorithms; create and manage datasets; and optimize these datasets to customer specifications. The program emphasizes independent and team-based work, professional development for sustainable employability, and collaboration with clients, domain experts, and researchers on innovative solutions. Students will work with state-of-the-art equipment, including 3D cameras, hyperspectral and multispectral cameras, their own virtual machine in a high-performance computer cluster, and a range of optics and lighting. The program combines academic and applied research, and graduates will be qualified as image data science professionals. First-year international students are offered a housing guarantee. The program is a Master of Science degree.

Teaching:

The program utilizes a Design-Based Education approach, involving practical assignments from real companies. Students work in groups and receive coaching from lecturers and professionals with relevant experience. The learning environment is described as "master-apprentice style," focusing on real-life applied research projects that integrate knowledge and skills. The program emphasizes iterative work towards practical application of innovative solutions, with attention paid to ethics, communication skills, and professional development. The program is supported by experts from the Computer Vision & Data Science professorship, who have extensive experience in the field.

Careers:

The program prepares students for careers in image data science, a field with high demand due to the vast amount of image data generated daily. Graduates will be equipped to automate visual inspection tasks. Core tasks for image data professionals include designing, developing, and testing machine learning algorithms for automating visual inspections; creating, balancing, and maintaining annotated datasets; optimizing and scaling algorithms; conducting methodologically correct research; and staying current with trends in the field. Students work closely with industry, often conducting research for specific companies or organizations, ensuring their thesis addresses current issues and integrates academic theory with practical insights.

Other:

The program emphasizes working in mixed groups to leverage diverse perspectives. Real-life projects and internships provide a head start on careers. The university aims to create an international study environment and foster a sense of community, making it a "home away from home" for students. The university highlights its commitment to fostering originality and innovation among its students. A student testimonial is included, highlighting the program's appeal due to the rapid growth of Computer Vision & Data Science. The program is accredited by NVAO.