This interdisciplinary field of data science combines computer science with mathematical statistics and domain expertise to manage and analyse data. As a data scientist, you'll develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as massive sensors, mobile and transaction data.
Through data science, businesses gain a competitive edge, governments deliver more targeted services and research teams make new discoveries. Scholarships - View all scholarships Internships
Duration: 2 Year(s)Fees: Not available
Intake | Location |
---|---|
Semester 1 (March), 2024 | Melbourne |
Semester 2 (July), 2024 | Melbourne |
Semester 1 (March), 2025 | Melbourne |
Semester 2 (July), 2025 | Melbourne |
Semester 1 (March), 2026 | Melbourne |
Semester 2 (July), 2026 | Melbourne |
Semester 1 (March), 2027 | Melbourne |
Semester 2 (July), 2027 | Melbourne |
Semester 1 (March), 2028 | Melbourne |
Semester 2 (July), 2028 | Melbourne |
OR
You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and, relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.
IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
6.5
Overall IELTS band score
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TOEFL Internet based overall score: 79.0
Pathway options to study at this institution
251st / 1250
THE World ranking