Journal of Mathematics and Data Science (JMDS)

The Journal of Mathematics and Data Science is an international peer-reviewed journal dedicated to publishing high-quality research in computational mathematics and data science. It focuses on the development and application of numerical methods, mathematical modeling, and data-driven computational techniques used across science, engineering, and technology. The journal covers a broad spectrum of topics including algorithm development, artificial intelligence applications in mathematical systems, statistical computing, optimization methods, and large-scale data analysis. It provides an academic platform for researchers to present innovative theoretical results as well as practical applications of mathematics in data science and computational fields. The journal follows a rigorous peer-review process to ensure the originality, accuracy, and scientific contribution of submitted papers. Published in an open-access format, it allows global dissemination of research without access barriers. The journal supports interdisciplinary collaboration between mathematicians, computer scientists, statisticians, and engineers. By bridging mathematics and data science, it plays an important role in advancing modern computational research and supporting innovation in data-driven decision-making systems.

Journal of Mathematics and Data Science (JMDS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computational Mathematics, Data Science, Numerical Analysis, Computer Science Applications, Scientific Computing, Statistical Modeling, algorithm development, artificial intelligence applications in mathematical systems, statistical computing, optimization methods, large-scale data analysis , Online , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3005-544X, Established: 2021,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE