About the Journal

Journal of Applied Mathematics and Data Science (JAMDS) is a scholarly journal dedicated to publishing high-quality research articles and scientific reviews that advance the theory and practice of applied mathematics and data science. The journal highlights the integration of mathematical approaches and data-driven methods to address real-world challenges through quantitative modelling, computational techniques, and analytical frameworks.

JAMDS welcomes contributions on the application of data science, including statistical modelling, machine learning, data analytics, computational mathematics, optimization methods, operations research, and data-driven modelling approaches that support system efficiency, forecasting, and decision-making strategies. The journal encourages interdisciplinary research with practical and theoretical implications across a wide range of fields, including economics and business, industry and manufacturing, logistics and supply chain, healthcare, information technology, and public policy.