Course Coordinator:Jenna Campton (jcampton@usc.edu.au) School:School of Business and Creative Industries
USC SydneyUSC Melbourne |
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 research and statistics are essential for any organisation to remain competitive, understand their customer’s needs, and resolve business problems or opportunity’s. Through research and discussions students will explore how to define business problems and design business research. Having an ongoing dialog in the workshop’s students will focus on how to interpret business analytics for decision making. Students will acquire practical skills in evidence-based decision making, analysing data, and communicating outcomes.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Lecture | 2hrs | Not applicable | Not Yet Determined |
| Laboratory 1 | 1hr | Not applicable | Not Yet Determined |
TBA
500 Level (Advanced)
12 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 | Identify a business problem, nominate an appropriate business analytics approach to address the problem and apply that business analytics approach |
Knowledgeable Empowered |
| 3 | Apply appropriate quantitative techniques for descriptive and predictive business analytics |
Creative and critical thinker Empowered |
| 4 | Make reasoned decisions as to the appropriate data collection method(s) for specific business analytics applications | Creative and critical thinker |
| 5 | 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”.
Must be enrolled in a postgraduate program.
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Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
From weeks 1-6 students will be given mini-practice quizzes to assess their knowledge of the weekly content from the lectures and tutorials. Weeks 1-3 practice quizzes will help to study for the week 4 graded quiz. Weeks 4-6 will help study for the week 7 graded quiz. It is expected that students will use this feedback to help identify topics in which they need to further study.
| 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 | Quiz/zes | Individual | 20% | 500 words |
Refer to Format | Online Test (Quiz) |
| All | 2 | Examination - not Centrally Scheduled | Individual | 30% | 2 Hours |
Week 10 | In Class |
| All | 3 | Examination - Centrally Scheduled | Individual | 50% | 2 hours |
Exam Period | Exam Venue |
| All - Assessment Task 1:In class quizzes | ||||||||||
| Goal: | To demonstrate understanding of business analytics and statistics |
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| Product: | Quiz/zes | |||||||||
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| Format: | Submit: Weeks 4 and 7 inclusive. This is an individual assessment. In Week 4 and Week 7 two online quizzes will be conducted in your enrolled tutorial. The week 4 quiz will cover content from weeks 1-3 and the week 7 quiz will assess content from weeks 4-6. Each quiz will comprise of 15 multiple choice questions and there is a 30-minute time limit. The quiz will assess content from the lectures, tutorials and textbook readings. |
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| All - Assessment Task 2:Examination | |||||||
| 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: | Examination - not Centrally Scheduled | ||||||
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| Format: | This is an individual assessmentThe exam will be held in the Lecture in Week 10 and assesses content covered from Weeks 5, 7, 8 & 9. The exam has two parts, the first part comprises multiple choice and true/false questions and the second part requires short answer responses. |
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| All - Assessment Task 3:Final examination | |||||||
| Goal: | To demonstrate understanding of business analytics and statistics |
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| Product: | Examination - Centrally Scheduled | ||||||
| Authorship Statement: | |||||||
| Format: | This is an individual assessment. A two-hour final examination will be held in the examination period and will consist of a set of 50 multiple choice questions. |
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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.
You need regular access to the resource(s) below. Many texts are available as ebooks through the Library at no additional cost.
| Required? | Author | Year | Title | Edition | Publisher |
| Required | Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. | 2013 | Business research methods | Cengage Learning Australia | |
| Required | Allen, P., Bennett, K., & Heritage, B. | 2014 | SPSS statistics version 22: A practical guide | Cengage Learning Australia |
Not applicable
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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.
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