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Hobart, Launceston, Cradle Coast


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

Summary 2021

Unit name Data and Analysis
Unit code ZAB114
Credit points 12.5
Faculty/School University College
Discipline Agribusiness

Suzie Jones

Available as student elective? Yes
Breadth Unit? No



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About Census Dates

Learning Outcomes

1. Describe how data are handled and analysed to support decision making in business, science, and technology disciplines

2. Select and apply data analysis and presentation methods to generate evidence that supports decision-making

3. Interpret and communicate evidence generated from mathematical and statistical approaches

4. Critically reflect on own technical practice and discipline knowledge to generate plans for self-development



Mutual Exclusions

You cannot enrol in this unit as well as the following:

ZAS113 Applied Maths


Teaching Pattern

Weekly online tutorials and three online half-day workshops per semester.


At1: Exploring Data as Evidence (20%)

AT2: Report: Data Analysis (35%)

AT3: Presentation: Communicating Data for Decision Making with Peer Feedback (45%)

TimetableView the lecture timetable | View the full unit timetable



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