Career
Any organisation handling large volumes of data needs qualified data scientists. Across all sectors of the economy – including IT, business, banking and finance, science and engineering, government, health and medical – organisations can gain a competitive edge by better managing and analysing their data.
As data science is still a new and emerging field, the roles available are quite varied and diverse.
As well as the title of data scientist, other positions include analytics specialist, business intelligence analyst/developer, data analyst, data architect, data engineer, data miner, research scientist and web analyst.
While industry expertise is at the heart of this degree, studying at RMIT also means you are physically located close to Melbourne’s data professionals in the central business district – with many opportunities to forge links with local industry and jobs, including meet-ups, events and seminars, as well as other networking occasions.
After being exposed to the latest theoretical and practical expertise, graduates are expected to become influential leaders within their organisations.
There is also a research stream in this course, in which students work with a data science researcher on more technical data science innovation.
Entry requirement
To study this course you will need to complete one of the following English proficiency tests:
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)
Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.
