Computational Mathematics and Its Applications in Modern Science explores the vital role of mathematical computation in driving modern scientific and technological progress. This comprehensive book delves into the integration of mathematical theory, numerical methods, and computational algorithms that form the backbone of advancements across physics, chemistry, biology, engineering, data science, and artificial intelligence. It presents a detailed examination of how computational mathematics enables the modeling, simulation, and optimization of complex real-world systems, bridging the gap between abstract mathematics and applied sciences. The book discusses key areas such as numerical and symbolic computation, algorithmic design, high-performance computing, and data-driven analysis, highlighting their applications in scientific research, engineering design, biomedical studies, and environmental modeling. With its blend of theoretical depth and practical insight, this volume serves as an essential reference for researchers, academicians, engineers, and postgraduate students seeking to understand how computational mathematics empowers innovation and discovery in the modern scientific landscape.