Hobart, Launceston, Cradle Coast
This unit explores the processes of data collection, analysis, representation and interpretation as well as the role of data in business decision making and discipline relevant data. You will explore these processes that underpin data-informed decision-making, using practical examples. You will engage in collecting, compiling, analysing, interpreting and evaluating data and information
|Unit name||Data for Decision Making|
|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 2020.
1. Identify, analyse and communicate the purpose and application of data.
2. Interpret, represent and present data to support decision making.
3. Analyse and apply an evidence-based approach to decision making in organisations.
4. Apply discipline-based skills and knowledge in dynamic practice situations.
5. Analyse and communicate core concepts related to discipline knowledge and practice.
6. Analyse and evaluate applications of innovative and/or entrepreneurial practice.
7. Develop and communicate understandings related to graduate attributes and transferable skills as adaptive practitioners.
|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.
Blended mode: Online content, full-day workshop (x2), weekly tutorials
AT1: On-line Quiz and Blog (20%)
AT2: Case Study (30%)
AT3: Research Report (50%)
|Timetable||View the lecture timetable | View the full unit timetable|
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