Master of Data Science
Master advanced techniques in data mining, statistics, and computational analysis to extract actionable insights.
Best for:Best for graduates in science, IT, or mathematics looking to build a professional career in data science.
Overview
The Master of Data Science at Flinders University is a comprehensive multidisciplinary coursework program focused on modern data analysis. Students learn computational and statistical methods, data mining, and knowledge discovery to address complex real-world challenges across various industries. The curriculum combines technical training with domain-specific knowledge to help organizations uncover hidden patterns and trends. Graduates are equipped to provide competitive advantages through advanced data insights and evidence-based decision making.
What you'll do
- Complete coursework across computational and statistical data analysis modules
- Engage in hands-on data mining and knowledge discovery projects
- Apply specialized domain knowledge to interpret large datasets
- Develop algorithms and models to uncover patterns, trends, and correlations
Requirements
Degree required: Bachelor's degree or equivalent qualification in science, medical science, information technology, mathematics, statistics, or a closely related discipline
Degree offered: Master Degree (By Coursework)
Language: English proficiency as per standard university admission requirements
Instruction: English
- Foundational knowledge in science, IT, mathematics, or statistics
- Ability to handle and process large quantities of data
- Analytical mindset for pattern recognition and correlation analysis
- Must hold an approved tertiary degree or equivalent qualification in a relevant discipline, or provide evidence of fitness for candidature as assessed by the Dean (Education)
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Prerequisites
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How to apply
Review the official course handbook and program structure details on the university website. Submit your application through the designated institutional admissions portal following the standard enrolment guidelines.
- Academic transcripts
- Proof of identity
- Evidence of prior qualifications
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.