Graduate Diploma in Data Science

Degree Level Postgraduate

Years

International students

Start date
February
July

Campus
Mawson Lakes

Duration
1 year(s) full-time

Mode
On-campus/Online

Program Code
LGDS

Fees
AUD$ 40,900 per annum (per 1.0 EFTSL) for students enrolled in 2025

English Language Requirements

IELTS total [6.5]
IELTS reading [6.0]
IELTS writing [6.0]

Equivalent English qualifications (PDF)

International Admission by Country
See full entry requirements

CRICOS Code
079911G

Entry requirements
Applicants to the Graduate Diploma in Data Science will normally have:
- a Bachelor degree or equivalent from a recognised higher education institution with a minimum of one year of full-time study in Mathematics or Information Technology or Data Science or a combination thereof; OR
- a Graduate Certificate in Data Science or equivalent from a recognised higher education institution.
English language entry requirements
In addition to meeting academic entry requirements, international students who speak English as a second or additional language must also meet the University's English language entry requirements. The minimum language requirements for this program are:
English language test
- IELTS total [6.5]
- IELTS reading [6.0]
- IELTS writing [6.0]
Please access the following link for a comprehensive list of English language tests accepted by UniSA and other important information in relation to meeting the University’s language requirements: English Language Equivalence Table (PDF)
View full entry requirements Hide full entry requirements

Aim

To provide graduates with a coherent body of knowledge of current techniques in data science, with a theme of applying this knowledge in the context of professional practice.

Content & Structure

This program consists of 36 units of study. The first semester enables students who enter with either a mathematics or information technology background to develop, through providing alternative pathways for each, a set of foundation skills on which the remainder of the program is built. The second semester consists of two core data analytics courses and a 9 unit course where students apply the theory and techniques to realistic problems in a professional development context.

From 4 August 2025, the University of South Australia will no longer be accepting applications for new students. Study at Adelaide University.

What courses you'll study

Course name	Area and cat no.	Units	Reference
Semester 1
Big Data Concepts	INFS 4020	4.5
Problem Solving in the Digital Age	COMP 5076	4.5
Business Practices for IT Professionals	INFS 5058	4.5
Statistics for Data Science	MATH 4044	4.5
Semester 2
Statistical Programming for Data Science	COMP 5070	4.5
Data Wrangling and Social Media Analytics	INFS 5144	4.5
Data Visualisation	INFS 5116	4.5
Directed Elective			Note(s): 1

Electives

Course name	Area and cat no.	Units
Directed Electives
Probabilities and Data	MATH 4043	4.5
Security Principles	INFS 5115	4.5
Analytics for Decision Making	INFS 3075	4.5
Risk Management and Governance	INFS 3083	4.5
Advanced Business Intelligence and Analytics	INFS 5135	4.5

Rules & notes

Rules

1. Students who enter this program after completing the Graduate Certificate in Data Science will be given credit for the first semester of the schedule.

Notes

1. Students must choose a course from the Directed Elective groups, in consultation with and approval of the Program Director. The chosen electives should complement current knowledge and experience.