Courses & Units

Applied Maths ZAS113

Hobart, Launceston, Cradle Coast


In this unit, you will be introduced to mathematical and statistical methods that support informed decision-making and solutions design based on analysis of scientific, business or technical data. You will explore why data is needed to make decisions, how data are collected, analysed, interpreted and presented, 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 area of specialisation, you will learn how to apply mathematical and statistical approaches to solve practical problems and present solutions using data and statistical analyses as evidence.

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 Applied Maths
Unit code ZAS113
Credit points 12.5
Faculty/School University College
Discipline Applied Science

Christopher Mabin

Available as student elective? No
Breadth Unit? No


Location Study period Attendance options Available to
Hobart Term 2 On-Campus Domestic
Launceston Term 2 On-Campus International Domestic
Cradle Coast Term 2 On-Campus Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Term 2 27/4/2020 18/5/2020 2/6/2020 3/7/2020

* 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.

About Census Dates

Learning Outcomes

1.    Identify and describe data-driven mathematical and statistical problems and solutions in business, science and technology fields

2.    Apply data handling and statistical approaches to solve practical problems

3.    Interpret and communicate mathematical and statistical-based solutions relevant to your industry or discipline



Band CSP Student Contribution Field of Education
2 2020: $1,190.00 010911

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 Pattern
  • Lectures online
  • Tutorials up to 3 hours per week
  • Workshops: up to 4 days per term

AT1: Exploring data as evidence (20%)

AT2: Case study: Report (45%)

AT3: Case study: Presentation (35%)

TimetableView the lecture timetable | View the full unit timetable


Booktopia textbook links

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