Data Science Murdoch University

Increasingly, companies are using large datasets that have been generated by business activities and social media to uncover trends and insights that can be used to tailor products and services, anticipate demand, improve performance, or contribute to solving complex social, health and science-related problems.

Equip yourself with the analytical skills needed to work with big data. This course is taught with a computational focus that combines information technology with mathematics and statistics.

The course is designed for information technology graduates and people working in information technology-related fields and provides the knowledge and skills IT professionals need to work with big data.

You'll benefit from an emphasis on data resources management, business and data analytics and local area network design. You may also choose to work on an advanced study project on your topic of choice to solve a current problem in the information technology industry.

Entry requirements

Minimum English Requirements

For admission into Murdoch you must be able to provide evidence of competency in the English language. This is usually achieved through one of the following:

• A scaled score of 50% or more in ATAR English, English Literature or English as a Second Language (or interstate equivalent).
• An Academic International English Language Testing System (IELTS) overall score of 6.0 (with no band below 6.0) or equivalent scores for the Pearson Test of English (PTE) Academic, TOEFL iBT or the Occupational English Test (OET).
• Successful completion of a University enabling course (e.g. OnTrack, FlexiTrack).
• A score of 140 or more in the Written English component of the STAT test
• Successful completion of either a Diploma (AQF Level 5 or higher) OR two University-level units (AQF Level 7 or higher).