UnitLevel 5Postgraduate

ETF5922 Data visualisation and communication

Faculty of Business and Economics

ETF5922 Data visualisation and communication is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2027 in Summer A and Semester 2 at Caulfield. It needs ETB1100, ETC1000, ETC5900, ETF1100, ETF5900, ETM5900, ETW1001, FIT1006, SCI1020, STA1010, ETX1100, ETX5900 or ETF5910 and unlocks 2 units, leading on to 3 units in all.

Credit points
6
Offered in 2027
Summer A, Semester 2
Caulfield
Assessment
Exam 50%
and 2 other tasks
Workload
144 hours
per semester

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Requisites

Enrolment rules

If you are enrolled in course B6001, B6014 or B6030, there is no prerequisite. If you are enrolled in course B6022 and C6004, you cannot undertake this unit.

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit provides a comprehensive introduction to data visualisation. You will learn how to interpret, evaluate and create visualisations using contemporary visualisation tools. The course begins with the foundational principles of data visualisation, including what makes a visualisation effective and the core design elements. You will be then introduced to the tools needed to create visualisations and will learn how to choose the right visualisations for different types of data. We will explore single-variable and multivariable plots. You will develop data wrangling skills, which are essential for cleaning and preparing datasets, and will engage in iterative processes to refine and improve your visualisations. As the course progresses, we’ll cover visual storytelling and more advanced topics such as visualising uncertainty and missing data. Interactive and animated visualisations will also be covered. This unit emphasises hands-on practice and using real-world applications of data visualisation in business. At the end of the unit you will be equipped to effectively communicate data-driven insights using visualisation in your future careers.

Offerings in 2027

Teaching periodCampusMode
Summer semester ACaulfieldOn campus, block
Second semesterCaulfieldOn campus

Assessment

  • Quiz / Test
    10%
  • Written
    40%
  • Examination
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    critically evaluate the quality of a data visualisation using the principles of graphical excellence

  2. 2

    successfully create high-quality data visualisations in both Power BI and R that are appropriate for a given dataset

  3. 3

    develop the skills to effectively use data visualisation to communicate insights to an audience, both in report writing and in presentations

  4. 4

    apply advanced topics in data visualisation, such as visualising uncertainty, visualising missingness and using animation to enhance communication.

Workload and teaching

  • Tutorials12 hours
  • Workshops36 hours
  • Workshops12 hours
  • Seminars24 hours
  • Teaching approachProblem-based learning
  • Teaching approachActive learning
  • Teaching approachCase-based teaching

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.

This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.

Learning resources

Technology resources

There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.

Where it fits

ETF5922 is part of 3 areas of study in the 2027 handbook.

Contacts

Chief Examiners
Dr Kate Saunders
Dr Shanika Wickramasuriya

Common questions

What are the prerequisites for ETF5922?

You need ETB1100, ETC1000, ETC5900, ETF1100, ETF5900, ETM5900, ETW1001, FIT1006, SCI1020, STA1010, ETX1100, ETX5900 or ETF5910 before you enrol. Enrolment rules also apply.

What can I take after ETF5922?

ETF5922 is a prerequisite or corequisite for 2 units, including ETF5932 and ETX5500. Those lead on to 3 units in all.

When is ETF5922 offered?

In 2027, ETF5922 runs in Summer A and Semester 2 at Caulfield.

How much work is ETF5922?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ETF5922 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.

Which majors and minors include ETF5922?

ETF5922 is part of Business economics; Data analytics for business; and Economics and health.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available