Course Coordinator:Mana Mirzaei (mmirzaei@usc.edu.au) School:School of Business and Creative Industries
UniSC Sunshine CoastUniSC Moreton BayUniSC Adelaide |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Online |
Online | You can do this course without coming onto campus, unless your program has specified a mandatory onsite requirement. |
Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
Data is a critical asset of any organisation, yet many people within organisations are unaware of how to effectively use and manage data. This course will equip you with the skills you need to drive business growth through effective data management. You will learn how to ensure that the right data is created, collected, strategically managed, shared, utilised and protected in ways which deliver competitive advantage. Topics covered in this course will include the data lifecycle, master data management, protecting data and gaining maximum value from data.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Learning materials – Interactive online learning activities. | 1hr | Week 1 | 11 times |
| Tutorial/Workshop 1 – Scheduled face to face workshops. | 2hrs | Week 1 | 11 times |
| Online | |||
| Learning materials – Interactive online learning activities. | 1hr | Week 1 | 11 times |
| Tutorial/Workshop 1 – Scheduled online workshops (Recorded). | 2hrs | Week 1 | 11 times |
200 Level (Developing)
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 | Analyse problems and formulate solutions for businesses using skills in data visualisation and reporting. | Creative and critical thinker |
| 2 | Understanding of relevant business policies used for data within a business context. | Knowledgeable |
| 3 | Interrogate business data to provide appropriate reporting in a business decision context. |
Knowledgeable Creative and critical thinker |
| 4 | Apply effective written and digital communication skills in a business context. | Engaged |
| 5 | Reflect upon, evaluate and justify the importance of ethical and sustainable approaches to data generation and use, such as creating a digital dashboard. |
Ethical Sustainability-focussed |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Not applicable
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Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Formative feedback will be provided through completion of weekly activities in workshops in addition to the feedback provided through weekly discussion topics that will be available on Canvas. Furthermore, feedback on each assessment will be provided which will be used to help with the following assessment.
| 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 | Oral and Written Piece | Individual | 20% | 3-5 minute video recording (5-10 slides) |
Week 5 | Online Assignment Submission with plagiarism check |
| All | 2 | Artefact - Technical and Scientific, and Written Piece | Individual | 40% | 1500 words |
Week 9 | Online Assignment Submission with plagiarism check |
| All | 3 | Artefact - Professional, and Written Piece | Individual | 40% | 1500 words |
Week 12 | Online Assignment Submission with plagiarism check |
| All - Assessment Task 1:Data Transformation Presentation | |||||||||||||
| Goal: | Present the data transformation process on a given set of data based on business problems. |
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| Product: | Oral and Written Piece | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | This is an individual task. Submit a PowerPoint presentation and a recorded video file |
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| Criteria: |
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| Generic Skills: | Problem solving, Applying technologies, Information literacy |
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| All - Assessment Task 2:Digital Dashboard | |||||||||||||||||||
| Goal: | Use of data visualisation tools to create a digital dashboard for an organisation or case. |
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| Product: | Artefact - Technical and Scientific, and Written Piece | ||||||||||||||||||
| Authorship Statement: | |||||||||||||||||||
| Format: | This is an individual task. You are required to submit a digital dashboard using data from a given business case and a report detailing the justification and reflection of the dashboard created. |
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| Criteria: |
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| Generic Skills: | Communication, Problem solving, Applying technologies, Information literacy |
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| All - Assessment Task 3:Data Policy Report | |||||||||||||
| Goal: | Create a data focused policy for a business case. |
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| Product: | Artefact - Professional, and Written Piece | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | This is an individual task. You will investigate a data focused policy for a business. You will explore the data that the business collects and examine how this policy might impact the way the business uses, stores, and governs its data. Submit a written report |
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| Criteria: |
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| Generic Skills: | Communication, Problem solving, Applying technologies, Information literacy |
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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 |
| Recommended | S. Christian Albright,Wayne L. Winston | 2019 | Business Analytics | 7th | Mindtap Course List |
| Recommended | Data Management Association,Deborah Henderson,Susan Earley | 2017 | DAMA-DMBOK | 2nd | DAMA International |
| Required | Dewey E. Ray | 2017 | Valuing Data | n/a | Taylor & Francis |
Not applicable
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.
Eligibility for Supplementary Assessment
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:
(a) The final mark is in the percentage range 47% to 49.4%; and
(b) The course is graded using the Standard Grading scale
Late submissions may be penalised up to and including the following maximum percentage of the assessment task’s identified value, with weekdays and weekends included in the calculation of days late:
(a) One day: deduct 5%;
(b) Two days: deduct 10%;
(c) Three days: deduct 20%;
(d) Four days: deduct 40%;
(e) Five days: deduct 60%;
(f) Six days: deduct 80%;
(g) Seven days: A result of zero is awarded for the assessment task.
The following penalties will apply for a late submission for an online examination:
Less than 15 minutes: No penalty
From 15 minutes to 30 minutes: 20% penalty
More than 30 minutes: 100% penalty
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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