Data Analytics and Applied Mathematics (DAAM) is a biannually peer- reviewed journal - dedicated to publish significant advances covering data analytics and applied mathematics fields. DAAM welcomes submissions in statistics and data science, pure mathematics, operational research, applied mathematics, and computational mathematics.

# Scopes of the Journal

The scopes of the proposed field is not limited to the field mentioned. Other relevant fields will also considered.

**Statistics & Data Science:**

Big Data Analytics, Data Visualization, Statistical Modeling & Simulation, Multivariate Statistics, Time Series Analysis & Forecasting, Mathematical Statistics, Statistical Methods, Probability, Nonparametric Statistics, Circular Statistics, Computational Statistics, Spatial Analysis, Predictive Analytics, Prescriptive Analytics, Data Mining, Machine Learning, Artificial Intelligence, Quality Control.

**Pure Mathematics:**

Group Theory, Graph Theory, Formal Language Theory, Mathematical Analysis, Topology, Galois

**Operational Research:**

Control Theory, Optimization, Multi-Agent Systems, Fuzzy, Decision Sciences

**Applied Mathematics:**

Fluid Mechanics, Heat and Mass Transfer, Mathematical Modelling, Fluid Dynamics, Nanofluids

**Computational Mathematics:**

Computer Aided Geometric Design, Numerical Analysis, Neural Network