Definition, types and characteristics of infrastructure systems. The importance of smart analytics and infrastructure (smart cities, smart homes, smart management, etc.). Data types in infrastructure systems. Storage of large amounts of frequency and unstructured data. Algorithms in the science of data in infrastructure systems. Statistical deriving conclusion. Statistical tests. Sampling correlation and regression. Modeling based on computer intelligence (artificial neural networks, decision trees, associative rules, fuzzy logic, support vector machine, genetic algorithm, etc.). Expert systems. Large data analysis. Predictions and evaluations. Classification. Analysis of concrete examples.