UNFS2102 - Statistics
Overview
This course equips students with fundamental to intermediate statistical knowledge and skills required for evidence-based decision-making. Students learn how to collect, process, analyse, and interpret data using descriptive and inferential statistical methods in management and related applied fields.
The course covers the role of statistics in decision-making, population and samples, variables and units of analysis, types of data and measurement scales, data collection, descriptive statistics, data summarization and visualization, probability, sampling distributions, confidence intervals, and hypothesis testing. Excel and pivot tables are used for practical data analysis.
In alignment with the Management curriculum matrix, the course also emphasizes academic ethics, research design, data-driven managerial decision-making, and evaluation of the quality and relevance of data and information. Digital analytics and AI may be used as learning or analytical support when appropriately authorized and transparently applied.
Learning Hours Composition:
- 42 hours of face-to-face learning, consisting of concept sharpening, discussion, tutorials, workshops, and applied statistical practice.
- 48 hours of structured learning and guided group discussions.
- 45 hours of independent, project-based learning.
Credit Point:
3 Credit(s)
Learning Hours:
45 hours x 3CPs = 135 hours
