Business Analytics

The units of study listed in the following table are those available for the current year. Students may also include any units of study, which are additional to those currently listed, which appear under these subject areas in the Business School handbook/website in subsequent years (subject to any prerequisite or prohibition rules).

Table of postgraduate units of study: Commerce

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Business Analytics

Achievement of a specialisation in Business Analytics requires 30 credit points from this table comprising:
(i) 6 credit points in foundational units of study
(ii) 24 credit points in elective units of study.

Units of study for the specialisation

Foundational unit of study

QBUS5001
Quantitative Methods for Business
6    A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics
N ECMT5001 or QBUS5002
Semester 1
Semester 2

Elective units of study

BUSS6002
Data Science in Business
6    A Basic knowledge of statistics, probability and linear algebra
P QBUS5001 or QBUS5002
Semester 1
Semester 2
INFS6018
Managing Business Intelligence
6    A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. (ii) Desirable Experience as a member of a project team.
Semester 1
QBUS6310
Business Operations Analysis
6    P ECMT5001 or QBUS5001 or QBUS5002
N ECMT6008
Semester 2
QBUS6320
Management Decision Making
6    A Basic Algebra, Probability, and Statistics
P QBUS5001 or QBUS5002
Semester 1
QBUS6810
Statistical Learning and Data Mining
6    P BUSS6002
Semester 1
Semester 2
QBUS6820
Business Risk Management
6    A Knowledge of basic probability theory and familiarity with spreadsheet modelling
P ECMT5001 or QBUS5001
Semester 2
QBUS6830
Financial Time Series and Forecasting
6    A Basic knowledge of quantitative methods including statistics, basic probability theory, and introductory regression analysis.
P ECMT5001 or QBUS5001
Semester 1
Semester 2
QBUS6840
Predictive Analytics
6    P (QBUS5001 or ECMT5001) and BUSS6002
Semester 1
Semester 2
QBUS6850
Machine Learning for Business
6    P QBUS6810
Semester 1
Semester 2
QBUS6860
Visual Data Analytics
6    A The unit assumes knowledge of statistics and confidence in working with data.
P QBUS5001 or QBUS5002
Semester 1
Semester 2