Master of Data Science

Postgraduate

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Mode icon
Mode
On campus
Campus icon
Campus
Duration icon
Duration
2 year(s) full-time
Program code icon
Program code
MADSC
Study as icon
Study as
Full-time
Fees
Indicative annual fees
$54,900
Prerequisites icon
Prerequisite
None
Assumed knowledge icon
Assumed knowledge
Pre-calculus mathematics, equivalent to MATH1015 Essential Mathematics.
English Language Requirements icon
English language requirements
IELTS Overall 6.5 IELTS Reading 6 IELTS Listening 6 IELTS Speaking 6 IELTS Writing 6 Equivalent English qualifications
CRICOS code icon
CRICOS code
115904D

Entry requirements

Admission criteria

To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.

  • A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent from a recognised higher education institution; OR
  • A completed nested or related graduate certificate (AQF level 8) or higher or equivalent from a recognised higher education institution.

This degree requires a Grade Point Average (GPA) equivalent to an Adelaide University 4.5 on a 7-point scale for entry.

English language entry requirements

In addition, international students who speak English as an additional language must have obtained one of the following standards within the last two years prior to admission. Possession of one or more of these qualifications, in addition to the academic entry requirements, does not, in itself, guarantee a place at Adelaide University. Applications are considered on an individual basis and selection is competitive. Where previous study/work experience was conducted in English, the application must be accompanied by certified documentation from the educational institution/employer certifying that the language of instruction/employment was English.

  • IELTS Overall 6.5
  • IELTS Reading 6
  • IELTS Listening 6
  • IELTS Speaking 6
  • IELTS Writing 6

Please access the following link for a comprehensive list of English language tests accepted by Adelaide University and other important information in relation to meeting the University’s language requirements:

Equivalent English qualifications

Degree Structure: Master of Data Science

Program code: MADSC

Complete 96 units comprising:

  • 66 units for all Core courses, and
  • 18 units for Discipline courses, and
  • 12 units for all Work integrated learning

Study plan

A study plan sets out the courses you will need to complete and the recommended timing for each one. This will help to guide your enrolment in each study period, alongside any additional information provided below. If you have received a personalised plan or alternative advice from your Program Director, please refer to that guidance in the first instance, or seek help from your Program Director or Student Assist if you are unsure.

Enrolment information

Find details about the rules and notes that apply to your program, along with other essential information required for successful enrolment. Supplementary supporting resources may also be provided where applicable.

Courses

Listed here are all the courses that contribute to your program, including elective options that can be chosen. These courses come together to form your study plan. Courses fall into different categories, each of which have specific unit values that need to be met under the program rules.

What courses you'll study

Complete 96 units comprising:

  • 66 units for all Core courses, and
  • 18 units for Discipline courses, and
  • 12 units for all Work integrated learning

Complete 66 units for ALL of the following:

Course name Course code Units
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Course name
Problem Solving and Programming Foundations
Course code
COMP5002
Units
6
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Course name
Data in Information Technology Systems
Course code
COMP5003
Units
6
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Course name
Data Taming and Prediction
Course code
MATHX105
Units
6
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Course name
Data Visualisation
Course code
MATHX314
Units
6
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Course name
Machine Learning Algorithms
Course code
ARTI6003
Units
6
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Course name
Introduction to Data Science, Ethics, and Privacy
Course code
COMP6005
Units
6
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Course name
Data-Driven Decision-Making
Course code
COMP6011
Units
6
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Course name
Leading People, Leading Teams and Cyber Security
Course code
INFO6011
Units
6
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Course name
Mathematics for Data Analytics A
Course code
MATH5109
Units
6
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Course name
Mathematics for Data Analytics B
Course code
MATH5110
Units
6
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Course name
Statistical Foundations for Data Science and Artificial Intelligence
Course code
STAT5020
Units
6

Complete 18 units comprising:

  • 18 units from Discipline

Course name Course code Units
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Course name
Multi-Modal Data Analysis
Course code
COMP1013
Units
6
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Course name
Multi-Source Data Analytics
Course code
COMP5030
Units
6
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Course name
Data-Driven Customer Insights and Segmentation
Course code
COMP6017
Units
6
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Course name
Time Series Analysis and Forecasting
Course code
STAT6002
Units
6
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Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
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Course name
Generative Artificial Intelligence
Course code
ARTI5001
Units
6
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Course name
Large Language Models and Applications
Course code
COMP6012
Units
6

Work Integrated Learning description

WIL courses give you real‑world experience as part of your degree.

Complete 12 units for ALL of the following:

Course name Course code Units
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Course name
ICT Master Capstone Project 1
Course code
COMP6024
Units
6
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Course name
ICT Master Capstone Project 2
Course code
COMP6000
Units
6

Your program team

Dr Nicholas Fewster-Young

Program Director

College of Science

School of Mathematical Sciences

Explore Adelaide University

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