Numeracy and Data in Practice
UndergraduateTAS-UPP0152026
Course information for 2026 intake View information for 2025 course intake
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 15 Feb 2026
- Entry requirements
- Part of a degree
- Duration
- 12 weeks
- Price from
- $0
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Numeracy and Data in Practice
About this subject
Upon completion of this subject, students should be able to:
- Identify and describe research methods, data collection and analysis techniques for a variety of academic contexts.
- Communicate numerical ideas and information in a range of formats.
- Examine research sources and evaluate numerical evidence to inform decision making or practice.
- Module 1: Introduction
- Module 2: Locating reliable information
- Module 3: Research design, collecting data and tables
- Module 4: Representing data - bar charts and line graphs
- Module 5: Averages, distributions and histograms
- Module 6: Boxplots - is there a difference?
- Module 7: Scatterplots, correlation and predictions
- Module 8: Percentages, probability and modelling
- Module 9: Making informed decisions - causation
- Module 10: Estimating - Is my answer reasonable or not?
- Module 11: Communicating conclusions - Report writing
- Module 12: Working with weighted averages
- Module 13: Where to next?
In this subject you will focus on the evaluation of quantitative information, in both everyday and academic situations. This subject will introduce you to research methodologies and frameworks to assess the reliability of online data sources. You will learn how to analyse and interpret numerical data and critically evaluate standard presentation methods, including column charts, line graphs, histograms, boxplots, scatterplots, and pie charts. You will also learn how to make informed decisions based on quantitative evidence and communicate your conclusions in a formal report style.
- The Research Process Learning Log (20%)
- Graphs, Averages & Boxplots (20%)
- Linear Modelling & Probability (20%)
- Evaluating Research Report (40%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Core
- TAS-UPP-DEG-2026 - University Preparation Program
Additional requirements
- Other requirements - Teaching Arrangement: 1 x 2-hour weekly Zoom workshop and 2 x 1-hour Zoom tutorials per week, approx. 6 hours independent study; 2 x 1-hour Zoom study support (optional)
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
University Preparation Program
UndergraduateTAS-UPP-DEG