Cyber-Risk Informatics: Engineering Evaluation with Data Science by Mehmet Sahinoglu offers a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats. The book introduces innovative techniques to address human-created cybersecurity risks, equipping readers with the tools necessary for effective management and mitigation strategies. Employing computationally intensive methods like Monte Carlo and Discrete Event Simulation, this statistical data-oriented resource is designed to be accessible to readers of varying skill sets and backgrounds. Enriched with JAVA ready-to-go applications and solutions to exercises available through a dedicated website, this book enables practical implementation and provides clear entry points for diverse audiences. Readers can utilize the course-related problems to enhance their understanding and application of the concepts presented.