Courses & Units
Data and Analysis ZAB234
Introduction
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 builds on concepts of learning through practice from Year 1 by introducing you to more complex learning experiences including:
- 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.
Summary
| Unit name | Data and Analysis |
|---|---|
| Unit code | ZAB234 |
| Credit points | 12.5 |
| College/School | College of Business & Economics University College |
| Discipline | Business and Management UC |
| Coordinator | Doctor Suzie Jones |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 1 | On-Campus | International | Domestic | |
| Hobart | Semester 2 | On-Campus | International | Domestic | |
| Launceston | Semester 1 | On-Campus | International | Domestic | |
| Launceston | Semester 2 | On-Campus | International | Domestic | |
| Cradle Coast | Semester 1 | On-Campus | International | Domestic | |
| Cradle Coast | Semester 2 | On-Campus | International | Domestic | |
| Online | Semester 1 | Off-Campus | International | Domestic | |
| Online | Semester 2 | Off-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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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.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 1 | 26/2/2024 | 22/3/2024 | 15/4/2024 | 2/6/2024 |
| Semester 2 | 22/7/2024 | 16/8/2024 | 9/9/2024 | 27/10/2024 |
* 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 (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- 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
- Evaluate, 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
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 020307 | $1,118.00 | $1,118.00 | not applicable | $2,648.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
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 What is an indicative Fee? to get an indicative course cost.
Requisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
ZAB103|ZAB114|ZAS103|ZAS113Teaching
| Teaching Pattern | On-campus students: Weekly online 1-2 hour tutorials Off-campus students: Weekly online 1-2 hour tutorials |
|---|---|
| Assessment | AT1: Exploring Data as Evidence (20%)|AT2: Report: Data Analysis (35%)|AT3: Presentation: Communicating Data for Decision Making, with Peer Feedback (45%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
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