Hobart, Launceston, Cradle Coast
This unit explores the processes used for data collection, analysis, representation and interpretation related to industry relevant data and decision making. Data-based decision-making enables problem solving and innovation to be achieved in industry. You will explore approaches that underpin data-informed decision-making using practical examples. You will engage in collecting, compiling, analysing, interpreting and evaluating data and information. This unit will draw upon the skills and knowledge that you have acquired during the course.
This unit builds on concepts of learning through practice in Year 1 of study by introducing you to more complex learning experiences.
You will be introduced to:
- discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences
- concepts of managing effective relationships and communicating with others
- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice- the nature of responsible, accountable and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.
You will exercise self-awareness, initiative and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual
|Unit name||Data Handling and Management|
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
|Cradle Coast||Term 1||On-Campus||Domestic|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2019.
- Identify, analyse and communicate the purpose and application of data in industry contexts.
- Analyse and present data to support industry relevant decision making.
- Interpret data and apply an ‘evidence-based approach’ to decision making.
- Apply and communicate evidence-based decision making approaches to innovate or problem solve in industry practice situations
|Band||CSP Student Contribution||Field of Education|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
Teaching material and tutorial support will be provided weekly through MyLO during the term.
Students will be required to attend two to three on campus practical sessions per term (2-3 hours per session).
Internet access is required for this course as students are required to access study materials provided online through MyLO. Please log into MyLO on the first day of each teaching period.
AT1: Importance of Data (20%)
AT2: Case study (30%)
AT3: Evidence Based Proposal (50%)
|Timetable||View the lecture timetable | View the full unit timetable|
Booktopia textbook links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.