Master in Data Science for Food and Health

This master's program combines data science with food and health, ideal for students eager to tackle contemporary challenges in these fields. Over two years, students gain a deep understanding of how to leverage data to improve nutrition, health, and consumer behavior.

The curriculum applies data science methods to real-world issues, with tracks like Nutrition and Health or Consumer Behavior. Students develop skills in statistics, data processing, and analytical thinking, with practical components like internships and a major thesis.

Graduates can pursue roles like Data Scientist, Health Data Analyst, and Food Technology Consultant, working for healthcare organizations or food technology companies seeking professionals who can bridge the gap between data science and domain-specific knowledge.