Information Systems and Data Science Department

Vision

The Department of Information Systems and Data Science strives to achieve a prestigious position in the fields of information systems and data science locally, regionally, and internationally.

Mission

The Department of Information Systems and Data Sciences is committed to providing an outstanding educational environment to prepare highly qualified graduates in the fields of information systems and data sciences, capable of keeping up with the rapid developments in these fields and meeting the local and regional job market demands. The department also aims to support innovative scientific research that contributes to improving the university’s ranking locally and internationally, and to actively participate in sustainable community development, while adhering to values and professional ethics.

Section list

Department Objectives

Prepare highly qualified graduates with strong knowledge and practical skills in information systems and data science through advanced academic programs that meet the needs of local, regional, and international job markets.

Foster a stimulating research environment focused on advanced fields of information systems, data analysis, and data science to support sustainable community development plans.

Establish a consulting unit within the department to provide technical solutions and professional consultations in information systems and data science for government and private sectors.

Deliver specialized training programs to qualify and develop technical personnel in various sectors of the state in the use of information systems and data technologies.

Promote community awareness of the importance of information systems and data science and encourage their adoption to improve services and decision-making in institutions.

Rehabilitate graduates of theoretical colleges according to the needs of the labor market in the fields of information systems and data science through diploma programs or specialized courses offered by the department.

Support publishing and scientific research in various fields of information systems and data science.

Organize scientific conferences and workshops to enhance the educational and research capacities of students and faculty members.

Build strategic partnerships with local and international industrial and academic institutions in the fields of information systems and data science to enhance opportunities for collaboration and knowledge and practical exchange.