1. Capacity for modeling problems derived from data with many variables.
2. Acquire analytical skills to describe multivariate data.
3. Capacity for making and interpreting plots for data in high dimension.
4. Capacity for making statistical inference on a multivariate population.
5. Acquire skills in advanced statistical tools like principal component analysis, factorial analysis, classification and clustering.
6. Handle statistical software for multivariate analysis.