2026 Program structure

This is the current version of this document and effective for students of Cohort 2026.

To view historic versions, view at Historic versions.

Notes:

+ Pre-requisite: A unit which must have been satisfactorily completed, or a requirement which must have been satisfied, before a student may enrol in a particular unit.

+ Co-requisite: A unit that must be taken in conjunction with or completed prior to another unit.

+ For stage 2 subjects, the first number in the subject code is the subject level (e.g: MKTG3007 => level 3 subject). It is recommended to take the subjects in sequential order, starting from level 1 and progressing to level 3.

BACHELOR of business

STAGE 1 - 1.5 YEARS

The Future of Business (Replacement for Business Academic Skills)
Principles of Marketing
Statistics for Business
Principles of Economics
Principles of Management
Principles of Accounting
International Business
Business Law
Financial Foundations (Replacement for Managerial Accounting)

(Pre-requisite: Principles of Accounting)

Professional Careers and Employability (Replacement for Human Resource Management)

(Pre-requisite: Principles of Management)

Digital Transformation for Business (Replacement for Consumer Behaviour)
Corporate Finance

(Pre-requisite: Principles of Accounting AND Statistics for Business AND Financial Foundations)

STAGE 2 - 1.5 YEARS

Marketing & Martech

Fundamentals of Marketing Analytics
Introduction to Business Analytics
Financial Institutions and Technology
Customer Insights and Analytics
Customer Experience Fundamentals
Omnichannel & Marketing Technologies
Banking and Finance
Strategic Marketing Management
Applied Digital Marketing
International Marketing
Marketing Planning Project
Professional Business Experience

International Business

Fundamentals of Marketing Analytics
Introduction to Business Analytics
Financial Institutions and Technology
Managing in the Global Environment
Special Topics in International Business
Global Strategies in the Digital Era
Globalization and Sustainability
International Business Strategy
Applied Digital Marketing
International Marketing
International Business Project
Professional Business Experience

Applied Finance & Fintech

Fundamentals of Marketing Analytics
Introduction to Business Analytics
Financial Institutions and Technology
Security Analysis and Business Valuation
Investment Analysis
Banking and Finance
Global Finance
Financial Modelling and Fintech
Applied Digital Marketing
International Marketing
Applied Finance and Fintech Engagement Project
Professional Business Experience

BACHELOR of communication

STAGE 1 - 1 YEAR

Principles of Marketing
Statistics for Business
Principles of Economics
Principles of Management
Principles of Accounting
International Business
Professional Careers and Employability (Replacement for Human Resource Management)

(Pre-requisite: Principles of Management)

Digital Transformation for Business (Replacement for Consumer Behaviour)

STAGE 2 - 2 YEARS

MKTG1001 Advertising: An Introduction
COMM1020 Media Cultures and Industries
COMM1044 Professional Communication
MKTG1009 Public Relations Theory and Practice
INFO1004 Data Analysis and Storytelling
MKTG2013 Advertising: Strategy
DESN1018 Visual Storytelling
COMM2001 Account and Client Management (Pre-requisite: MKTG1001 Advertising: An Introduction AND (COMM3051 Advertising: Media OR MKTG2013 Advertising: Strategy))
MKTG2001 Advertising: Creative (Pre-requisite: MKTG1001 Advertising: An Introduction)
COMM2024 Media Law and Ethics
COMM3051 Advertising: Media (Pre-requisite: MKTG1001 Advertising: An Introduction)
COMM3054 Digital and Social Communication
COMM3045 Advertising: Campaigns (Pre-requisite: MKTG2013 Advertising: Strategy AND COMM 2006 Advertising: Media)
COMM3053 Industry Research Project
COMM3052 Writing for our Digital Lives
COMM3018 Internship

BACHELOR of applied data science

DOUBLE DEGREE - 1.5 YEARS

COMP1014 Thinking about Data
COMP1013 Analytics Programming
COMP2026 Visual Analytics
COMP2025 Introduction to Data Science
COMP3020 Social Web Analytics (Co-requisite: COMP1014 Thinking about Data)
COMP3032 Machine Learning (Pre-requisite: COMP1014 Thinking about Data AND COMP3002 Applications of Big Data)
COMP3002 Applications of Big Data (Pre-requisite: COMP1013 Analytics Programming)
COMP3035 Discovery Project (Co-requisite: COMP3032 Machine Learning)

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