Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Course Language
English
Intakes
Program start dateApplication deadline
2023-03-01-
2023-09-01-
About Program

Program Overview


Course Specification

The current and official versions of the course specifications are available.


CIS8025 Big Data Visualisation

Course Details

  • Units: 1
  • School or Department: School of Business
  • Grading basis: Graded
  • Course fee schedule:

Requisites

Enrolment is not permitted in CIS8025 if CIS8701 has been previously completed.


Overview

Data has become an important resource for organisations. Many thousands of terabytes of data come into organisations daily through transactional data, sensor networks and social media. IT professionals increasingly working in multidisciplinary teams have the responsibility of communicating this data effectively to the key stakeholders in organisations. Drawing on data visualisation theory, concepts and design and the use of advanced data visualisation tools, big data can be presented into visual form for quick and easy comprehension so that accessible and readily discernible evidence can drive the decision-making process within an organisation.


This course provides students with a sound grounding in data visualisation theory, concepts and design. Students will develop the knowledge and skills to apply best practice principles in the design and implementation of data visualisation applications that utilise big data in ways that inform decision making for organisations. The course requires students to apply fundamental and advanced aspects of data visualisation theory and design principles as well as the methods and techniques for creating user-oriented data visualisation solutions using a data visualisation tool. Students will implement, through a hands-on team project, elements of sound data visualisation design, while developing an appreciation of the ethical considerations and need for strong policy to protect the privacy and security of citizens' data.


Course Offers

  • Study period:
    • Semester 1, 2023
    • Semester 2, 2023
  • Mode:
    • On-campus
    • Online
  • Campus:
    • Toowoomba

Acknowledgement

The University of Southern Queensland acknowledges the traditional custodians of the lands and waterways where the University is located. Further, we acknowledge the cultural diversity of Aboriginal and Torres Strait Islander peoples and pay respect to Elders past, present and future.


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