Gain the skills to navigate huge volumes of data generated via social media, financial transactions, transportation and scientific discovery as a data scientist.
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.
Extra Notes
You must have: An Australian bachelor degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent. 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. International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).
Remarks
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.