ENSEMBLE: Journal of Applied Mathematics, Statistics and Data Science is an international peer-reviewed journal dedicated to publishing high-quality research articles, review papers, and applied studies in the fields of applied mathematics, statistics, and data science. The journal emphasizes interdisciplinary approaches and innovative quantitative methods to address real-world challenges across science, technology, industry, business, health, education, and society.

Scope

Applied Mathematics

• Mathematical modeling and simulation
• Numerical analysis and scientific computing
• Optimization and operations research

Statistics

• Theoretical and applied statistics
• Multivariate analysis
• Statistical inference
• Bayesian statistics
• Robust statistics
• Statistical quality control

Data Science and Analytics

• Data science methodologies
• Machine learning and artificial intelligence
• Data mining and knowledge discovery
• Big data analytics
• Predictive analytics
• Business analytics
• Deep learning applications

Interdisciplinary and Applied Research

• Quantitative methods in economics and finance
• Environmental and climate data analysis
• Health and medical analytics
• Educational data mining
• Smart systems and digital technologies
• Internet of Things (IoT) analytics