Module Descriptions
Bachelor of Commerce Non-Degree Purpose
Below is the Module Descriptions for 2025.
Full-time Option: Study year 1 of 1
This module covers the content in 1st-year BCom Financial Accounting that is not covered in the HCBS Financial Accounting Fundamentals by enhancing the student’s knowledge on basic concepts of financial accounting. Students will learn about internal controls, various types of legal entities and inventory systems. Students will be able to record, classify and interpret business transactions accurately and be able to explain basic financial statements, specifically, the statement of comprehensive income, statement of financial position and statement of equity.
This module covers the content in 1st-year BCom Business Analytics that is not covered in the HCBS Business Analytics Fundamentals by enhancing the student’s knowledge on basic concepts of business analytics. Students will learn probability, statistical inference and linear regression. At the conclusion of the module, students will be able to select and apply appropriate analytical techniques, apply these techniques and interpret these results making appropriate inferences.
This module covers the content in 1st-year BCom Financial Accounting that is not covered in the HCBS Financial Accounting Fundamentals by enhancing the student’s knowledge on basic concepts of financial accounting. Students will learn about internal controls, various types of legal entities and inventory systems. Students will be able to record, classify and interpret business transactions accurately and be able to explain basic financial statements, specifically, the statement of comprehensive income, statement of financial position and statement of equity.
This module covers the content in 1st-year BCom Business Analytics that is not covered in the HCBS Business Analytics Fundamentals by enhancing the student’s knowledge on basic concepts of business analytics. Students will learn probability, statistical inference and linear regression. At the conclusion of the module, students will be able to select and apply appropriate analytical techniques, apply these techniques and interpret these results making appropriate inferences.