This document outlines the syllabus for the Statistics course in the first year of the Bachelor of Science in Computer Science program. It introduces statistics as a field that can be applied to decision making under uncertainty. The first year of the BSc CS covers topics like computer science, programming skills, mathematics, logic, statistics, and electronics. Statistics is extensively used in fields like data mining, big data analytics, theoretical computer science, reliability analysis, machine learning, artificial intelligence, pattern recognition, and digital image processing. The syllabus outlines the structure of the statistics courses in the first semester, including the topics covered, credits, and marks distribution for descriptive statistics, methods of applied statistics, and a statistics practical paper. It provides details on the