Medium and Course Assessment

The learning environment of the Master of Statistics and Informatics Techniques
program is designed to support both theoretical and practical aspects of advanced
statistical education. Courses are delivered in Arabic and English, using
a combination of face-to-face lectures and online learning when required.
In addition, students are provided with specialized academic references and reading
materials to enhance their understanding of advanced statistical concepts and
modern analytical applications.

The learning environment includes:

• On-campus lectures in equipped classrooms.
• Use of e-learning systems and digital platforms.
• Access to computer laboratories to support practical applications.
• Utilization of up-to-date academic references in statistics and informatics.

Course assessment is based on a comprehensive and balanced evaluation system that includes:

• Assignments and scientific exercises.
• Midterm examinations.
• Practical and applied activities.
• Short research projects and coursework.
• Final examination at the end of each academic semester.

This assessment approach aims to accurately measure students’ academic achievement
and to enhance their analytical, practical, and research skills.