Cradle Coast, Launceston, Hobart
In this unit, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.
This unit also incorporates learning through practice by exposing you to authentic learning experiences. These experiences are placed at the centre of learning and assessment, for you to develop the skills, knowledge and behaviours necessary to respond to industry, community and/or global needs.
You will be introduced to:
- a range of methods, tools, techniques and approaches to practice
- principles and perspectives such as values, ethics, empathy and leadership in real world scenarios
- reflection and deliberative thinking as a means of developing knowledge, skills, attitudes and aspirations
- ways of understanding problems and developing solutions through active inquiry
|Unit name||Data and Analysis|
|Coordinator||Doctor Suzanne Joan (Suzie) Jones|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
|Cradle Coast||Semester 2||On-Campus||Domestic|
|Cradle Coast||Semester 1||On-Campus||Domestic|
|Launceston||Semester 1||On-Campus||Off-Campus||International||Domestic Domestic|
|Launceston||Semester 2||On-Campus||Off-Campus||International||Domestic Domestic|
- International students
- Domestic students
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
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.
|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 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.
- Describe how data are handled and analysed to support decision making in business, science, and technology disciplines
- Select and apply data analysis and presentation methods to generate evidence that supports decision-making
- Interpret and communicate evidence generated from mathematical and statistical approaches
- Critically reflect on own technical practice and discipline knowledge to generate plans for self-development
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to this page to get an indicative course cost.
You cannot enrol in this unit as well as the following:ZAB103|ZAS103|ZAS113
Weekly online tutorials, 3 x online half-day workshops per semester
|Assessment||AT2: Report: Data Analysis (35%)|AT1: Exploring Data as Evidence (20%)|AT3: Presentation: Communicating Data for Decision Making, with Peer Feedback (45%)|
|Timetable||View the lecture timetable | View the full unit timetable|
Required readings will be listed in the unit outline prior to the start of classes.
|Links||Booktopia textbook finder|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.