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Data Analytics and Business Intelligence PG (8697.4)

Level: Postgraduate Level
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology


Possible changes to your unit's learning activities and assessment items

For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.

While the University has made efforts to ensure that Unit Outlines reflect a unit’s learning activities and assessment items, any changes to Australian Government directives because of the COVID-19 pandemic may require changes to these during the semester to ensure the safety and well being of students and staff. These changes will not be updated in the published unit outline, but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. Any changes made will continue to meet the unit’s learning outcomes, as described in the Unit Outline.

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Semester 2, 2020, ON-CAMPUS, BRUCE (195585) - View
  • Semester 1, 2020, ON-CAMPUS, BRUCE (193957) - View
  • Semester 2, 2019, ON-CAMPUS, BRUCE (185310) - View
  • Winter Term, 2019, ON-CAMPUS, BRUCE (185605) - View
  • Semester 2, 2018, ON-CAMPUS, BRUCE (182358) - View
  • Winter Term, 2018, ON-CAMPUS, BRUCE (182355) - View
  • Winter Term, 2017, ON-CAMPUS, BRUCE (166195) - View
  • Winter Term, 2016, ON-CAMPUS, BRUCE (152412) - View
  • Winter Term, 2015, ON-CAMPUS, BRUCE (141152) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.


This unit introduces students to the tools and techniques of data analytics with application to business intelligence. Students will be introduced to the main tools of data analytics, both descriptive and predictive. Case studies will provide the links to intelligence that businesses, in the broadest sense of the term, can use. The unit is designed to be of interest to students in a range of disciplines including health, education, sport and management.This unit is co-taught with unit Data Analytics and Business Intelligence.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Source and access data from a variety of databases;

2. Select and apply appropriate tools for data visualization;

3. Select and apply descriptive data analytics methods;

4. Select and apply predictive data analytics methods;

5. Fit statistical models; and

6. Use the results to produce business intelligence in a variety of settings.

Assessment Items

Contact Hours

3 hours per week.


Introduction to Statistics G or a similar unit. Restrictions: This unit is not open to students who have passed Data Analytics and Business Intelligence.



Assumed Knowledge


Equivalent Units


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