Journal of Veri Bilimi is a peer-reviewed scientific journal aiming to publish original research produced using data-driven approaches in the fields of science and engineering. The journal focuses on analytical methods developed from experimental, observational, or simulation-based data and their application to scientific problems.

The scope of Journal of Veri Bilimi includes studies involving the applications of machine learning, deep learning, statistical modelling, data visualization, big data analytics, and artificial intelligence methods in the fields of science and engineering.

Theoretical method development studies, applied research, and interdisciplinary contributions are considered. Studies are expected to be data-driven, present a methodologically clear and repeatable analysis process, and provide a scientific contribution to the relevant field.