Submissions
Submission Preparation Checklist
All submissions must meet the following requirements.
- This submission meets the requirements outlined in the Author Guidelines.
- This submission has not been previously published, nor is it before another journal for consideration.
- All references have been checked for accuracy and completeness.
- All tables and figures have been numbered and labeled.
- Permission has been obtained to publish all photos, datasets and other material provided with this submission.
Research Articles
Full-length articles presenting original research in mathematics, statistics, or data science. Contributions may include theoretical results, methodological advances, mathematical and statistical models, or substantive applications supported by rigorous analysis and appropriate validation.
Review Articles
Comprehensive and critical surveys of established or emerging areas within the journal’s scope. Articles should synthesise relevant literature, assess current developments, identify research gaps, and outline useful directions for future work.
Short Communications
Concise articles reporting original results or focused advances that warrant timely dissemination. Submissions should present a clear contribution with sufficient mathematical, statistical, or empirical support to allow independent assessment.
Methodological Notes
Focused articles introducing or refining mathematical and statistical techniques, algorithms, numerical procedures, or tools for data analysis. Contributions should explain the proposed approach, establish its validity, and demonstrate its usefulness through suitable examples or comparisons.
Privacy Statement
Mathematical, Statistical and Data Sciences (MSDS) is committed to protecting the privacy of authors, reviewers, editors, readers, and registered users.
Names, email addresses, affiliations, and other personal information entered into the journal system are used only for editorial management, peer review, publication, communication, and related journal activities.
Personal information is not sold or disclosed for commercial purposes. Access is limited to authorized journal personnel and service providers where necessary for journal operations.
Reviewer identities and editorial materials are treated confidentially in accordance with the journal’s single-blind peer-review policy.
MSDS uses Open Journal Systems (OJS), developed by the Public Knowledge Project (PKP), to manage submissions, peer review, editorial decisions, and publication.