2025/26 · Archived official catalogue HTML record (detailed PDF not read)
2025/26 archived catalogue text：Semester B 2025/26 / Semester B 2026/27 (Tentative) · “Current academic year” is the wording of that archived catalogue page and does not indicate present-day offering. · Catalogue source ↗
The offering term is subject to change without prior notice
What you will study
- Course overview and aims
- This course aims to introduce essential statistical methods and analytical tools used to analyze data, gain insights, and make informed decisions. In this course, core topics in probability and statistics are reviewed and expanded through on the study and practice of data analytics. Students will learn how to: describe and visualize data; test our understanding against data; and create statistical models based on domain knowledge. This course will let students gain hands-on experience using different statistical techniques and tools. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures and statistical modelling methods to draw conclusions about a real-world problem from such analyses.
Official catalogue page · Course Aims
- Course content
- Complete official information for this field is not available.
Before you take this course
Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.
- Precursors
- Complete official information for this field is not available.
- Corequisites
- This captured catalogue page does not state this item; the detailed PDF was not checked in this audit.
Official catalogue page
- Additional course requirements
- Complete official information for this field is not available.
- Equivalent courses and conditions
- This captured catalogue page does not state this item; the detailed PDF was not checked in this audit.
Official catalogue page
- Exclusive courses and conditions
- Complete official information for this field is not available.
Assessment and passing the course
- Assessment
- Continuous Assessment: 40% Examination: 60% Examination Duration: 2 hours Min. Continuous Assessment Passing Requirement: 30% Min. Examination Passing Requirement: 30% Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.
Official catalogue page · Assessment (Indicative only, please check the detailed course information)
- Passing requirements
- Complete official information for this field is not available.
Credits, duration and edition details
- Title in this edition
- Statistical Methods and Data Analysis
Official catalogue page · Course title
- Credits in this edition
- 3
Official catalogue page · Credit Units
- Course duration
- One Semester
Official catalogue page · Course Duration
Check the official document
This archived official catalogue HTML page provides the title, credits, teaching unit, course aims, assessment summary and any relationship text shown below. A detailed syllabus/PDF and learning outcomes are not present in the captured page; this audit did not read a PDF. No current offering is inferred.
An on-page PDF preview is not available for this edition.
Source · University course information ↗ · Checked 2026-10-21