Graduate Diploma in Data Science (GDipDataSc)

View PDF
Detailed Program Information

Program Code
GDDSC

Program Faculty
Faculty of Sciences, Engineering and Technology

Academic Year
2025

These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).

Overview

The Graduate Diploma in Data Science is designed for students who wish to develop new skills in the growing area of data science, with a specific focus on large-scale data analysis, or big data. In this program, students undertake a variety of core and elective courses, designed to combine skills in computer science, mathematics, data science and data science analysis.

The program provides the necessary skills for entering the world of Big Data and Data Science, an emerging area of necessity for many fields, including Science, Engineering, Economics and Digital Humanities. The program will help learners understand how data is changing our world, and how learners can apply data science techniques to drive changes in their organisation or area. The program will provide an introduction to the emerging field of data, and introduce fundamental analysis techniques, explored through a range a case studies, gaining deeper knowledge of relevant computational and mathematical techniques, such as machine learning and data mining.

The Graduate Diploma in Data Science is an AQF Level 8 Qualification with a standard full-time duration of  1 year.

Program Learning Outcomes

  1. Demonstrate knowledge and understanding of the content, technologies and practices of data science, especially in relation to challenging data, and how it can apply to informing organisational change.
  2. Apply, evaluate and use best-practice algorithms, techniques and theory of machine learning, statistics, optimisation, and distributed computing to the analysis and transformation of data in a range of application domains.
  3. Demonstrate understanding of the social and ethical aspects of data science, to inform the design and development of data science applications within a sound ethical framework.
  4. Apply principles of data analysis, presentation and visualisation to effectively communicate patterns and relationships in data.
  5. Demonstrate independent and collaborative problem-solving skills to apply data science techniques to real-world and industry problems.

Conditions

Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.

Program Maximum Duration: As specified in Table 1 of the Coursework Academic Programs Policy, this program must be completed within a Maximum Duration which includes any periods of non-enrolment, leave of absence or approved study at other institutions for credit towards a Program. 

Academic Program Rules for Graduate Diploma in Data Science

There shall be a Graduate Diploma in Data Science.

Qualification Requirements

To qualify for the degree of Graduate Diploma in Data Science, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 24 units comprising:

  1. Core courses to the value of 18 units
  2. Elective courses to the value of 6 units

Core Courses

Electives

Published on: 29 November, 2024 | 11:25:37

DISCLAIMER: The information in this publication is current as at the date of printing and is subject to change. You can find updated information on our website at adelaide.edu.au With the aim of continual improvement the University of Adelaide is committed to regular reviews of the degrees, diplomas, certificates and courses on offer. As a result the specific programs and courses available will change from time to time. Please refer to adelaide.edu.au for the most up to date information or contact us on 1800 061 459. The University of Adelaide assumes no responsibility for the accuracy of information provided by third parties.

Australian University Provider Number PRV12105

CRICOS 00123M © The University of Adelaide.

Content generated from http://calendar.adelaide.edu.au