Graduate Diploma in Data Science (Applied) (GDipDS (App))

View PDF
Detailed Program Information

Program Code
GDDSA

Program Faculty
Faculty of Sciences, Engineering and Technology

Academic Year
2019

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 (Applied) is a fully online program suitable for students from a wide range of backgrounds and will provide the opportunity to build skill and expertise in the application of data science. Data Science is a rapidly evolving space with implications for the future of work and our daily lives.
Students will undertake a fixed study plan within the online program, moving through two course carousels that structure their learning to build on appropriate prerequisite knowledge. The first carousel provides foundational content in data science, including fundamental technical content, as well as an overview of data science as an organisational process. The second carousel, then extends this content further, providing deeper technical awareness of data science, as well as exploration of case studies of application, communication and visualisation from multiple disciplines.
The Graduate Diploma in Data Science (Applied) (Online) is an AQF Level 8 qualification with a standard full-time duration of 1 year.
 

Conditions

Condition of Enrolment
Interruption of program: Students must apply for permission from the Faculty 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.

Academic Program Rules for Graduate Diploma in Data Science (Applied)

There shall be a Graduate Diploma in Data Science (Applied).

Qualification Requirements

To qualify for the degree of Graduate Diploma in Data Science (Applied) (Online), the student must complete satisfactorily a program of study consisting of the following courses with a combined total of not less than 24 units, comprising:
Core courses to the value of 24 units
Students entering from a cognate discipline, and therefore unable to take COMP SCI 7210OL. Foundations of Computer Science – Python A (3 units) and/or COMP SCI 7211OL. Foundations of Computer Science – Python B (3 units) will be required to undertake the alternative course offerings.
 

Core Courses

  • Graduate Diploma in Data Science (Applied) (Online)

    To satisfy the requirements for Graduate Diploma in Data Science (Applied) (Online) students must complete courses to the value of 24 units.

    Core

    All of the following courses must be completed:

    Subject/Catalogue Course Title Unit Value
    COMP SCI 7210OL Foundations of Computer Science - Python A 3
    COMP SCI 7211OL Foundations of Computer Science - Python B 3

    or

    Subject/Catalogue Course Title Unit Value
    PSYCHOL 6500OL Foundations of Psychology 3
    PSYCHOL 6501OL Research Methods, Design and Analysis 3

    and

    Subject/Catalogue Course Title Unit Value
    COMP SCI 7212OL Human and Ethical Factors in Computer Science 3
    DATA 7201OL Data Taming, Modelling and Visualisation 3
    DATA 7202OL Applied Data Science 3
    DATA 7301OL Applications of Data Science 3
    DATA 7302OL Real Data: Modern Methods for Finding Hidden Patterns 3
    MATHS 7027OL Mathematical Foundations of Data Science 3

Published on: 12 March, 2024 | 12:26:05

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