Course Coordinator:Jenna Campton (jcampton@usc.edu.au) School:School of Business and Creative Industries
UniSC Sunshine Coast |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
Business Analytics (BA) involves analysing data in order to gain insight into existing performance and to assist in future planning. This course is designed to provide managers with an understanding of business analytics and its underlying statistical methodologies. The course will use SPSS statistical software applied to a wide variety of business applications, including estimation and predictive analytics.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Tutorial/Workshop 1 | 2hrs | Not applicable | Not Yet Determined |
The role of business analytics and the business research process: from problem definition to methodology.
Fundamentals of statistical thinking – sampling, measurement, and hypothesis testing.
Descriptive analytics - central tendency, variation and data visualisation.
Prescriptive analytics and predictive analytics – to solve business problems.
700 Level (Specialised)
6 units
| Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
| 1 | Understand the principles of business analytics and its relation to business intelligence; and applied statistical terminology and techniques. |
Creative and critical thinker Ethical |
| 2 | Determine the relevant aspects of a BA initiative within a presented context. |
Creative and critical thinker Sustainability-focussed |
| 3 | Evaluate the opportunities and gaps of a BA initiative within a specified case (as determined by the student). |
Knowledgeable Creative and critical thinker Ethical |
| 4 | Apply computer technology in the solution of business analytics problems. | Empowered |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Enrolled in BU791
Not applicable
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Students will be given mini-practice quizzes to assess their knowledge of the content from the workshops. It is expected that students will use this feedback to help identify topics in which they need to further study. Task 1 will build into Task 2. Task 1 is the front end of a business report which will then present analysis and results in Task 2. Early feedback on Task 1 will help students improve this section before submission of Task 2.
| Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
| All | 1 | Report | Individual | 30% | 1,000 words |
Online Assignment Submission with plagiarism check | |
| All | 2 | Report | Individual | 70% | 2,000 words |
Online Assignment Submission with plagiarism check |
| All - Assessment Task 1:Business Analytics Report | ||||||||||||||||
| Goal: | To demonstrate understanding of the business research process |
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| Product: | Report | |||||||||||||||
| Authorship Statement: | ||||||||||||||||
| Format: | You can either use your own business problem which links to a dataset you will use for Task 2 or you will be given a business case for Task 1 and a dataset to use for Task 2. The assessment will report the business problem and research questions as informed by a mini literature review. You will prepare the first part of the report on the business problem, managerial decision statement, and research question/s. The business problem will inform a short literature review and theoretical framework, before ending with the guiding research question. The format of the report will comprise of: • Introduction • Business problem definition • Literature review and research questions |
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| All - Assessment Task 2:Business Analytics Report | |||||||||||||||||||
| Goal: | To undertake a business analytics approach to solve a set of business problems that require the use of appropriately selected business analytics approaches. |
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| Product: | Report | ||||||||||||||||||
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| Format: | This is an individual assessment. Studentscan choose to use their own data which links to Task 1 or will be given a dataset. The report will cover the business problem, and business analytics tools selected to solve the selected problem(s). This is followed by a technical analysis and discussion of practical results. The format of the report will comprise of: • Executive summary • Introduction • Problem definition and business intelligence required • Literature review • Results • Discussion |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please bring a laptop
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
For more information on Academic Learning & Teaching categories including:
For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching
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