About the Journal

The International Journal of Mathematics, Statistics & Data Analytics (IJMSDA) is a peer-reviewed academic journal that publishes cutting-edge research in the fields of pure and applied mathematics, statistical modeling, and data analytics. The journal serves as a platform for scholars, researchers, and practitioners to present innovative methodologies, theoretical advancements, and practical applications in mathematical sciences, statistical techniques, and data-driven decision-making. IJMSDA covers a broad spectrum of topics, including but not limited to algebra, calculus, probability theory, statistical inference, machine learning algorithms, big data analytics, computational mathematics, optimization techniques, and their applications in various industries such as finance, healthcare, engineering, and environmental science. The journal encourages contributions that integrate mathematical and statistical approaches with modern data analysis techniques to solve complex real-world problems. IJMSDA is published twice a year and is currently in the process of obtaining an ISSN registration. With a rigorous peer-review process, the journal aims to maintain high research standards and provide valuable insights that drive advancements in mathematics, statistics, and data analytics.