Students will gain in-depth knowledge and practical skills in designing research studies, organizing, and presenting data, and conducting comprehensive statistical analyses. The curriculum includes a thorough exploration of descriptive statistics, parametric tests (with a special focus on ANOVA), principal component analysis, and regression analysis. Emphasis is placed on applying these methods to real-world food engineering data sets, enabling students to interpret and critically assess findings from nutrition research effectively. Additionally, students will learn to use statistical software proficiently, ensuring they are well-equipped for future research and professional practice in the field of food engineering.