Master in Course Summary

Tuition is 14,602 USD per year.

Harnessing the expertise of the Computer Vision & Artificial Intelligence professorship, this programme immerses students in the rapidly evolving intersection of machine learning and visual data analysis. Delivered in a master-apprentice style environment, the curriculum prioritizes applied research, ensuring that graduates are not merely theoretical experts but practitioners capable of navigating complex industrial challenges.

The programme is specifically designed for professionals and graduates who wish to bridge the gap between academic research and real-world implementation. By focusing on the automatic analysis of large-scale image data, students tackle critical industry needs through iterative, project-based learning. Key features include:

• Real-world integration: Work on actual assignments provided by industry partners, culminating in a professional-grade paper and functional prototype.
• Iterative development: Progress through five distinct sprints each semester, receiving continuous feedup, feedback, and feedforward to refine technical and professional skills.
• Holistic skill building: Beyond deep learning algorithms, the course integrates essential training in ethics, communication, and professional project management.

Applied Research Core

At the heart of the experience is the move from foundational knowledge to autonomous, master-level research. Students learn to design, test, and scale machine learning algorithms while managing high-quality datasets in collaboration with domain experts, ensuring that every technological solution is both methodologically sound and ready for practical deployment.