GraduateComputer Science
Graduate Diploma in Data Science
University of New England, Armidale, NSW, Australia
About this program
Demand for data scientists continues to grow as organisations in industries from science to health to business and beyond seek specialists who can extract meaning and insights from rapidly expanding data streams available in today's workplace. UNE's Graduate Diploma of Data Science will expand your skills so you can solve complex and challenging problems, innovate and gain competitive advantages by building intelligent systems and bringing structure to large and diverse data sets.
Fees & duration
English test scores
Verified une.edu.au ↗
Course structure
- COSC110The course structure lists 31 unit entries across its schedule. Units include Introduction to Programming and the UNIX Environment
- COSC210Database Management Systems
- STAT100Introduction to Statistical Modelling
- STAT410Statistical Modelling and Experimental Design
- AMTH250Computational Mathematics
- AMTH405Mathematics for Machine Learning and Artificial Intelligence
- among others. Full unit-by-unit sequencing
- credit point values
- and any major or specialisation options are set out in UNE's Course Structure (Program of Study) tab for this course
- and the authoritative version of record is UNE's own Course Handbook
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
You can apply for this course if you have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in any discipline.
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