Through the course, you’ll learn how to:
analyse the lifecycle of data through an organisation, apply major theories in data analysis and exploration in common contexts and challenges
plan a data science project in a new area of application
investigate, analyse, document and communicate the core issues and requirements of developing a global organisation’s data analysis capabilities
demonstrate an understanding of data science to the standard of senior professional practice
review, assess, synthesise and apply modern data science theories for professional or academic purposes
document and communicate ethical and legal considerations in relation to privacy and security in data science practice
CAREER OPTIONS - Chief data officer, Data analyst,Data architect,Data engineer,Data scientist, Quantitative analyst. Scholarships - View all scholarships Internships
Duration: 1 Year(s)Fees: Not available
Intake | Location |
---|---|
Semester 1 (February), 2024 | Clayton |
Semester 2 (July), 2024 | Clayton |
Semester 1 (February), 2025 | Clayton |
Semester 2 (July), 2025 | Clayton |
Semester 1 (February), 2026 | Clayton |
Semester 2 (July), 2026 | Clayton |
IELTS (Academic) - 6.5 Overall (Minimum 6.0 in each component)
Internet Based TOEFL - 79 (Listening - 12, Reading - 13, Speaking - 18 and Writing - 21)
Paper based TOEFL - 550 (Test of Written English: 4.5)
6.5
Overall IELTS band score
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TOEFL Internet based overall score: 79.0
Pathway options to study at this institution
54th / 1250
THE World ranking