Business Analytics, Testamur Major (T130)
- Effective from: 2022
- Western Sydney University Major Code: T130
Previous Code: MT2041.1
Available to students in other Western Sydney University programs? No
Generating and communicating information and insight from increasingly diverse and growing sources of big data for business decision-making is a crucial asset for any organisation. Starting with a framework for applying data analysis tools for business analytics, this major develops a blend of skills from mathematics, statistics, data science and computing. Students will acquire knowledge and understanding in the continually developing areas of artificial intelligence, and applications of big data.
Location
Campus | Mode | Advice |
---|---|---|
Parramatta City Campus-Macquarie Street | Internal | Program Advice |
Major Structure 2025
This structure applies to students who commenced in 2025 or later. If you commenced 2024 or earlier, please refer to the relevant Structure tab for details.
Qualification for this major requires the successful completion of 80 credit points including all of the core subjects listed below.
Core Subjects for this Major
2786 Bachelor of Business (Business Analytics) Testamur major students must complete the following subjects. Please refer to the recommended sequence in the Sequence tab.
Please note: Excludes students enrolled in 3687 Bachelor of Information Systems OR 3688 Bachelor of Information Systems Advanced OR 3744 Bachelor of Information Systems/Bachelor of Business OR 3745 Bachelor of Information Systems Advanced/Bachelor of Business):
Subject | Title | Credit Points |
---|---|---|
BUSM 1042 | Introduction to Business Analytics | 10 |
COMP 1013 | Analytics Programming | 10 |
COMP 2026 | Visual Analytics | 10 |
COMP 2025 | Introduction to Data Science | 10 |
ECON 3006 | Economic and Financial Modelling | 10 |
INFO 3003 | Human-Computer Interaction | 10 |
COMP 3002 | Applications of Big Data | 10 |
COMP 3020 | Social Web Analytics | 10 |
Total Credit Points | 80 |
Professional Subjects
Bachelor of Business students undertaking the Business Analytics major are advised to take the following four subjects to satisfy the requirements for their professional core:
Subject | Title | Credit Points |
---|---|---|
BUSM 3006 | Design Thinking for Creativity | 10 |
BUSM 3081 | Business Analytics Project | 10 |
MATH 1030 | Statistics for Business | 10 |
BUSM 2041 | Working in Professions | 10 |
Core Subjects for 3744/3745:
Students enrolled in 3744 Bachelor of Information Systems/Bachelor of Business or 3745 Bachelor of Information Systems Advanced/Bachelor of Business must complete the following subjects in the Business Analytics Testamur major:
Subject | Title | Credit Points |
---|---|---|
COMP 1014 | Thinking About Data | 10 |
COMP 1013 | Analytics Programming | 10 |
COMP 2025 | Introduction to Data Science | 10 |
COMP 2026 | Visual Analytics | 10 |
COMP 3002 | Applications of Big Data | 10 |
COMP 3020 | Social Web Analytics | 10 |
COMP 3032 | Machine Learning | 10 |
BUSM 3004 | Contemporary Management Issues | 10 |
Total Credit Points | 80 |
Core Subjects for 3687/3688:
Students enrolled in 3687 Bachelor of Information Systems or 3688 Bachelor of Information Systems Advanced must complete the following subjects in the Business Analytics Testamur major:
Subject | Title | Credit Points |
---|---|---|
COMP 1014 | Thinking About Data | 10 |
COMP 1013 | Analytics Programming | 10 |
COMP 2025 | Introduction to Data Science | 10 |
COMP 2026 | Visual Analytics | 10 |
COMP 3002 | Applications of Big Data | 10 |
COMP 3020 | Social Web Analytics | 10 |
COMP 3032 | Machine Learning | 10 |
BUSM 3081 | Business Analytics Project | 10 |
Total Credit Points | 80 |
Recommended Sequence 2025
This sequence applies to students who commenced in 2025 or later. If you commenced in 2024 or earlier, please refer to the relevant Sequence tab for details.
(Note: Students in 3687/3688/3744/3745 will complete the specified core subjects for this major listed in the Structure tab)
Full-time (2786 Bachelor of Business (Business Analytics) Testamur Major students only)
Year 1 | ||
---|---|---|
Autumn session | Credit Points | |
BUSM 1010 | Financing Enterprises | 10 |
LAWS 1001 | Enterprise Law | 10 |
BUSM 1042 | Introduction to Business Analytics | 10 |
MATH 1030 | Statistics for Business | 10 |
Credit Points | 40 | |
Spring session | ||
BUSM 1008 | Enterprise Leadership | 10 |
BUSM 1006 | Enterprise Innovation and Markets | 10 |
COMP 2025 | Introduction to Data Science | 10 |
Select one elective | 10 | |
Credit Points | 40 | |
Year 2 | ||
Autumn session | ||
COMP 1013 | Analytics Programming | 10 |
INFO 3003 | Human-Computer Interaction | 10 |
COMP 2026 | Visual Analytics | 10 |
Select one elective | 10 | |
Credit Points | 40 | |
Spring session | ||
ECON 3006 | Economic and Financial Modelling | 10 |
BUSM 2041 | Working in Professions | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Year 3 | ||
Autumn session | ||
COMP 3002 | Applications of Big Data | 10 |
BUSM 3006 | Design Thinking for Creativity | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Spring session | ||
COMP 3020 | Social Web Analytics | 10 |
BUSM 3081 | Business Analytics Project (Enterprise Engaged Subject) | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Total Credit Points | 240 |
Part-time (2786 Bachelor of Business (Business Analytics) Testamur Major students only)
Year 1 | ||
---|---|---|
Autumn session | Credit Points | |
BUSM 1010 | Financing Enterprises | 10 |
LAWS 1001 | Enterprise Law | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 1042 | Introduction to Business Analytics | 10 |
MATH 1030 | Statistics for Business | 10 |
Credit Points | 20 | |
Year 2 | ||
Autumn session | ||
BUSM 1008 | Enterprise Leadership | 10 |
COMP 2026 | Visual Analytics | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 1006 | Enterprise Innovation and Markets | 10 |
COMP 2025 | Introduction to Data Science | 10 |
Credit Points | 20 | |
Year 3 | ||
Autumn session | ||
COMP 1013 | Analytics Programming | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Spring session | ||
BUSM 2041 | Working in Professions | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 4 | ||
Autumn session | ||
Select two electives | 20 | |
Credit Points | 20 | |
Spring session | ||
ECON 3006 | Economic and Financial Modelling | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 5 | ||
Autumn session | ||
INFO 3003 | Human-Computer Interaction | 10 |
COMP 3002 | Applications of Big Data | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 3006 | Design Thinking for Creativity | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 6 | ||
Autumn session | ||
COMP 3020 | Social Web Analytics | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Spring session | ||
BUSM 3081 | Business Analytics Project (Enterprise Engaged Subject) | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Total Credit Points | 240 |
Major Structure 2024
This structure applies to students who commenced in 2024 or earlier. If you commenced 2025 or later, please refer to the relevant Structure tab for details.
Qualification for this major requires the successful completion of 80 credit points including all of the core subjects listed below.
Core Subjects for this Major
(Note: Students enrolled in 3687/3688 will complete the core subjects for this major in their elective spaces)
Subject | Title | Credit Points |
---|---|---|
BUSM 1042 | Introduction to Business Analytics | 10 |
COMP 1005 | Programming Fundamentals | 10 |
COMP 1013 | Analytics Programming | 10 |
COMP 2025 | Introduction to Data Science | 10 |
COMP 3032 | Machine Learning | 10 |
COMP 2026 | Visual Analytics | 10 |
COMP 3002 | Applications of Big Data | 10 |
COMP 3020 | Social Web Analytics | 10 |
Total Credit Points | 80 |
Equivalent Subjects
The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.
MATH 1002 Analytics Programming, replaced by COMP 1013 Analytics Programming
MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science
MATH 2014 Visual Analytics, replaced by COMP 2026 Visual Analytics
Professional Subjects
Students undertaking the Business Analytics major are advised to take the following four subjects to satisfy the requirements for their professional core:
Subject | Title | Credit Points |
---|---|---|
BUSM 3006 | Design Thinking for Creativity | 10 |
BUSM 3081 | Business Analytics Project | 10 |
MATH 1030 | Statistics for Business | 10 |
BUSM 2041 | Working in Professions | 10 |
Recommended Sequence 2024
This sequence applies to students who commenced in 2024 or earlier. If you commenced 2025 or later, please refer to the relevant Sequence tab for details.
(Note: Students in 3687/3688 will only complete the core subjects for this major listed in the Structure tab)
Full-time (2786 Bachelor of Business (Business Analytics) Testamur Major students only)
Year 1 | ||
---|---|---|
Autumn session | Credit Points | |
BUSM 1010 | Financing Enterprises | 10 |
LAWS 1001 | Enterprise Law | 10 |
BUSM 1042 | Introduction to Business Analytics | 10 |
MATH 1030 | Statistics for Business | 10 |
Credit Points | 40 | |
Spring session | ||
BUSM 1008 | Enterprise Leadership | 10 |
COMP 1005 | Programming Fundamentals | 10 |
BUSM 1006 | Enterprise Innovation and Markets | 10 |
Select one elective | 10 | |
Credit Points | 40 | |
Year 2 | ||
Autumn session | ||
COMP 1013 | Analytics Programming | 10 |
COMP 3032 | Machine Learning | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Spring session | ||
COMP 2025 | Introduction to Data Science | 10 |
BUSM 2041 | Working in Professions | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Year 3 | ||
Autumn session | ||
COMP 2026 | Visual Analytics | 10 |
COMP 3002 | Applications of Big Data | 10 |
BUSM 3006 | Design Thinking for Creativity | 10 |
Select one elective | 10 | |
Credit Points | 40 | |
Spring session | ||
COMP 3020 | Social Web Analytics | 10 |
BUSM 3081 | Business Analytics Project (Enterprise Engaged Subject) | 10 |
Select two electives | 20 | |
Credit Points | 40 | |
Total Credit Points | 240 |
Equivalent Subjects
The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.
MATH 1002 Analytics Programming, replaced by COMP 1013 Analytics Programming
MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science
MATH 2014 Visual Analytics, replaced by COMP 2026 Visual Analytics
Part-time (2786 Bachelor of Business (Business Analytics) Testamur Major students only)
Year 1 | ||
---|---|---|
Autumn session | Credit Points | |
BUSM 1010 | Financing Enterprises | 10 |
LAWS 1001 | Enterprise Law | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 1042 | Introduction to Business Analytics | 10 |
MATH 1030 | Statistics for Business | 10 |
Credit Points | 20 | |
Year 2 | ||
Autumn session | ||
BUSM 1008 | Enterprise Leadership | 10 |
COMP 1005 | Programming Fundamentals | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 1006 | Enterprise Innovation and Markets | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 3 | ||
Autumn session | ||
COMP 1013 | Analytics Programming | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Spring session | ||
BUSM 2041 | Working in Professions | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 4 | ||
Autumn session | ||
COMP 2025 | Introduction to Data Science | 10 |
COMP 3032 | Machine Learning | 10 |
Credit Points | 20 | |
Spring session | ||
Select two electives | 20 | |
Credit Points | 20 | |
Year 5 | ||
Autumn session | ||
COMP 2026 | Visual Analytics | 10 |
COMP 3002 | Applications of Big Data | 10 |
Credit Points | 20 | |
Spring session | ||
BUSM 3006 | Design Thinking for Creativity | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Year 6 | ||
Autumn session | ||
COMP 3020 | Social Web Analytics | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Spring session | ||
BUSM 3081 | Business Analytics Project (Enterprise Engaged Subject) | 10 |
Select one elective | 10 | |
Credit Points | 20 | |
Total Credit Points | 240 |
Equivalent Subjects
The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.
MATH 1002 Analytics Programming, replaced by COMP 1013 Analytics Programming
MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science
MATH 2014 Visual Analytics, replaced by COMP 2026 Visual Analytics