Western Sydney University - Parramatta
A data scientist solves problems by designing systems that take data in its many forms, and providing information in terms of analysis and prediction. To do this a data scientist must be adept at both computing and statistics. This degree equips students with the computational and statistical knowledge and skills for designing machine learning systems for prediction and analysis of complex data relationships, storage and retrieval of big data, designing experimental studies, and building and fitting models for analysis, visualisation, estimation and prediction. These skills are essential for the analysis of customer transactions and behaviour, scientific investigations, financial trends, and online behaviour.
Artificial intelligence, astroinformatics, big data, database technology, global sustainability, health informatics, machine learning, social network analysis, statistical analysis, statistical programming, visualisation.
Data scientist, data analyst, quant analyst in the fields of banking, insurance, finance, advertising, retail, telecommunications, market research, consulting, scientific research, bioinformatics, sports science, transportation, education and government analytics.
The table below shows the ATAR and Selection Rank information for those offered places wholly or partly on the basis of ATAR in 2023.
ATAR-based offers only, across all offer rounds | ATAR (excluding adjustment factors) | Selection Rank (including adjustment factors) |
---|---|---|
Highest rank to receive an offer | 96.65 | 99.95 |
Median rank to receive an offer | 78.72 | 84.57 |
Lowest rank to receive an offer | 72.05 | 77.5 |
<5 - Less than 5 ATAR-based offers were made
Please refer to the Western Sydney University website for admission criteria information.
This information is sourced from Course Seeker, a joint initiative between the Australian Government and the Tertiary Admission Centres. View more information on Course Seeker.
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