Big Data in Business
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).
Timetabling information for the current year is available on the Business School website. Students should note that units of study are run subject to demand.
Table of postgraduate units of study: Commerce
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Big Data in Business |
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| Achievement of a specialisation in Big Data in Business requires 30 credit points from this table comprising: | |||
| (i) 6 credit points in foundational units of study | |||
| (ii) 6 credit points in compulsory units of study | |||
| (iii) 18 credit points in elective units of study. | |||
Units of study for the specialisation |
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Foundational units of study |
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| QBUS5001 Quantitative Methods for Business |
6 | A Basic calculus; basic concepts of probability & statistics N ECMT5001 or QBUS5002 |
Semester 1 Semester 2 |
Compulsory units of study |
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| BUSS6002 Data Science in Business |
6 | A Basic knowledge of statistics, probability and linear algebra P QBUS5001 or QBUS5002 |
Semester 1 Semester 2 |
Elective units of study |
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| 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 |
| INFS6023 Data Visualisation |
6 | Semester 1 |
|
| ITLS6107 Applied GIS and Spatial Data Analytics |
6 | N TPTM6180 This unit assumes no prior knowledge of GIS; the unit is hands-on involving the use of software, which students will be trained in using. |
Semester 2 |
| MKTG6001 Marketing Research Concepts |
6 | Semester 1 |
|
| MKTG6018 Customer Analytics and Relationship Management |
6 | Semester 1 Semester 2 |
|
| QBUS6810 Statistical Learning and Data Mining |
6 | P ECMT5001 or QBUS5001 |
Semester 1 Semester 2 |
| QBUS6840 Predictive Analytics |
6 | P QBUS5001 or ECMT5001 |
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 |