Data analytics professionals use data to guide businesses and organisations to make informed decisions. In this major, students develop the skills and knowledge to extract information effectively from data, and to interpret the results. Students will learn a combination of mathematical, statistical and computing skills, to be able to tackle a broad range of data analytics problems that arise in business contexts. Data analytics professionals are needed in many organisations to help analyse the drivers of change and the impact of decisions, and to predict what is most likely to occur in the future.
Availability
Business analytics is offered in the Bachelor of Business and Commerce in Malaysia as a major and in the Bachelor of Commerce at Clayton as a major or minor.
Outcomes
In addition to achieving the broad outcomes of their course, students successfully completing this major will be able to:
- use their comprehensive understanding of statistical models and machine learning algorithms to inform business decisions made in a variety of settings; to implement such analyses in practice, and provide appropriate interpretation of the results; to adapt models and algorithms to new problems when required.
Major requirements (48 points)
Note: Students studying B2026 Bachelor of Business and Commerce complete ETW-coded units and students studying B2001 Bachelor of Commerce complete ETC-coded units.
No more than 12 points at level 1 may be credited to a major and at least 18 points must be credited to the major at level 3.
Students complete:
- The following three units (18 points):
- Five units (30 points) from the following units listed for their campus with at least two units (12 points) at level 3:
Malaysia:
- ACW2851 Accounting information systems and financial modelling
- ETW1000 Business and economics statistics
- ETW3420 Principles of forecasting and applications or ETW3481 Econometric methods for finance
- ETW3483 Enterprise resource planning
- MGX2700 Project management for small to medium enterprises
Clayton:
- ETC2410 Introductory econometrics
- ETC2500 Marketing research analysis
- ETC3550 Applied forecasting for business and economics
- ETC3555 Advanced data mining
- ETC3580 Advanced statistical modelling
- ETF3500 High dimensional data analysis
- ETX2250 Data visualisation and analytics
- FIT1045 Algorithms and data structures
- FIT2094 Databases
- FIT3003 Business intelligence and data warehousing
- FIT3154 Advanced data analysis
- FIT3179 Data visualisation
Minor requirements
Students complete:
- The following two units (12 points):
- any two further units (12 points) from the major, with at least one at level 2 or 3
Bachelors
Single degrees
Successful completion of the major or minor* can be counted towards meeting the requirements for the following single degrees:
- B2026 Bachelor of Business and Commerce
- B2001 Bachelor of Commerce
Students in these courses can complete the minor* using 24 points of their free electives.
Students in other single bachelor's degrees may be eligible to complete the minor or major by using 24 or 48 points of their free electives.
Double degrees
Successful completion of the major or minor* can be counted towards meeting the requirements for the Bachelor of Business and Commerce or Bachelor of Commerce component in the following double degrees:
- B2027 Bachelor of Business and Commerce and bachelor of Communication and Media Studies
- B2020 Bachelor of Commerce and Bachelor of Arts
- B2021 Bachelor of Commerce and Bachelor of Biomedical Science
- B2014 Bachelor of Commerce and Bachelor of Commerce Specialist
- B2008 Bachelor of Commerce and Bachelor of Computer Science
- B2006 Bachelor of Commerce and Bachelor of Global Studies
- B2025 Bachelor of Commerce and Bachelor of Information Technology
- B2022 Bachelor of Commerce and Bachelor of Music
- B2023 Bachelor of Commerce and Bachelor of Science
- D3003 Bachelor of Education (Honours) and Bachelor of Commerce
- E3005 Bachelor of Engineering (Honours) and Bachelor of Commerce
- L3005 Bachelor of Laws (Honours) and Bachelor of Commerce
