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The Master of Data Science program equips students to excel in cutting-edge data analysis and predictive modeling.
Leverage your prior academic background and/or professional expertise while mastering comprehensive skills for organizing, analyzing, interpreting, and extracting value from complex datasets.
Throughout this program, you'll acquire techniques for transforming raw data from diverse sectors into actionable intelligence. Enhance your expertise in computational methods and data science, while learning modern methodologies and tools that span the complete data processing spectrum.
The admission requirements for Master of Data Science consist of:
a completed bachelor degree (or higher award) in any discipline from a recognised higher education institution or equivalent; successful completion of the Postgraduate Qualifying Program at Swinburne.
English language requirements
Satisfactory completion of one of the following:
Swinburne’s English for Academic Purposes (EAP 5 Advanced level) with overall 70%, all skills 65%
IELTS (Academic Module): Overall 6.5 with no individual band below 6.0
Swinburne English Language Centre: EAP 5 Advanced level with overall 70% and all skills 65% or above
any other equivalent assessment of English language proficiency.