Analytical and sensory techniques are routinely employed to monitor food quality. In modern laboratories, old data processing practices gave way to more modern multivariate approaches in order to cope with ever increasing data loads. In this course we will have an overview of some of the most useful multivariate statistical analysis approaches applied in food science, both with a theoretical description of the methods and with practical examples from the literature.