Graduate Diploma in Data Science

University of South Australia - Mawson Lakes Campus

Australia,South Australia

 0 Shortlist

12 Months

Duration

CAD 40,900/year

Tuition Fee

CAD 0 FREE

Application Fee

Jul 2025

Apply Date

Australia, South Australia

Type: University

Location Type: Semi-Urban

Founded: 1991

Total Students: 37,000 +

Int. Students: 5,500 +

Campus Detail

Main Campus Address

Mawson Lakes Blvd, Mawson Lakes SA 5095, Australia

Graduate Diploma in Data Science

Program Overview

Enter the revolutionary area of big data where there is a strong demand for data scientists. This is expected to drive future growth in the data science workforce, with an annual growth rate of 2.4% between 2016-17 and 2021-22 (which is stronger than the 1.5% per annum growth forecast for the entire Australian labour force)1.

Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of ‘Big Data’, and to a new career of ‘data scientist’. Data scientists find patterns, making meaning and drawing value from the seeming chaos.

Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate data management strategies.

This graduate diploma is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification. If you decide to exit this qualification having completed the first four courses you will receive the Graduate Certificate in Data Science. If you finish this graduate diploma and want to do further study, consider going on to the Master of Data Science.


What you'll learn

In the Graduate Diploma in Data Science you will learn current techniques in data science, and how to apply this knowledge professionally. You will develop:

  • Cognitive skills to review, analyse, consolidate and synthesise knowledge and identify and provide solutions to complex problems in data science
  • Cognitive skills to think critically and to generate and evaluate complex ideas
  • Specialised technical and creative skills in data science
  • Communication skills to demonstrate an understanding of theoretical concepts
  • Communication skills to transfer complex knowledge and ideas to a variety of audiences

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Master of Data Science

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