Quantitative science and computer

The Department of Quantitative Sciences and Computer Science is one of the vital departments in the Faculty of Commerce, combining statistical and mathematical knowledge on one hand, and computer and quantitative analysis skills on the other. The department aims to prepare graduates capable of using modern quantitative and technological tools to analyze data and make effective decisions in a dynamic business environment.

The department focuses on providing students with both theoretical and practical knowledge in the fields of statistics, operations research, data analysis, information systems, and programming, enabling them to contribute to institutional development and make strategic, data-driven decisions.

Program Objectives

The Department of Quantitative Sciences and Computer Science seeks to develop students’ abilities in quantitative analysis and the use of information technology in business through:

• Developing analytical skills: Enabling students to use statistical methods and mathematical models to study business problems and make informed decisions.

• Utilizing technology: Training students to use computer programs and data analysis tools to apply scientific solutions in the workplace.

• Logical thinking and problem-solving: Enhancing critical thinking and applying the scientific method to address complex challenges.

• Integration between theory and practice: Preparing students to understand the relationship between quantitative analysis and managerial operations in organizations.

• Ethics and responsibility: Instilling values of integrity and transparency in the use of data and information and in making data-based decisions.

Career Opportunities

Graduates of the Department of Quantitative Sciences and Computer Science enjoy a wide range of career opportunities thanks to their analytical and technical management skills. Some of the key roles include:

• Data Analyst: Collecting and analyzing data to support administrative and marketing decisions.

• Systems Analyst: Designing and improving information systems to meet organizational needs.

• Operations Researcher: Applying mathematical and statistical models to improve operational efficiency.

• Information Systems Manager: Overseeing the development and operation of systems within organizations.

• Statistician: Preparing analytical and predictive studies to assist senior management in planning.

• Technical or Management Consultant: Providing consultancy in digital transformation and organizational performance analysis.

Member