The second year includes practical projects in which you solve real-world problems using data science and computer vision. You work in teams on complex tasks, from data acquisition to model implementation, interacting with real datasets.
Semester 1: Data Dynamics
Delve into the core principles of extracting insights from vast datasets. The semester covers essential themes such as the integration of IoT devices, processing and analysing big data, understanding computer networks, and leveraging cloud solutions. Together, these technologies offer a rich learning experience in building intelligent and responsive digital systems.
Semester 2: Visionary Code
Offering in-depth specialisation into image acquisition, image processing, and pattern recognition using machine learning, this semester is your chance to apply your theoretical knowledge to real-life research projects with state-of-the-art equipment, such as a mini-supercomputer and 3D cameras. The curriculum includes image segmentation, deep learning, object detection, and SCRUM project management.
Subjects:
- Analysing big data
- Computer networks
- Cloud solutions
- Image segmentation
- Deep learning
- Object detection
- Dutch
- Professional skills
Study load: 40% theory, 60% application | 60 ECTS per year