Master of Data Science

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Tuition fee
Apply by
Start date
Feb 2025
Feb 2026
Duration
1.5 years
2 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
1 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.

As the rise of data science is a global phenomenon, the course prepares you for an international career. You will gain a detailed knowledge of contemporary data management and analysis technologies, including those for data collection and storage, visualisation, internet-based applications, and software project management.

You will also acquire essential skills in high performance computing.

As well as undertaking advanced units in computing and statistics, you can choose from a range of units from diverse fields and understand how to apply your data science knowledge and skills across interdisciplinary domains.

The course is designed with the current and future needs of industry in mind and is ideal for graduates with a background in engineering and IT or students from other areas who wish to pursue a career in this exciting field.

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Requirements

The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Feb 2025
Feb 2026
Duration
1.5 years
2 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
1 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs