Master of Data Science

UniSA’s Master of Data Science gives you current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both.

You will learn to analyse and visualise rich data sources, how to spot data trends, and to generate data management strategies. The coursework has been designed with industry including the Institute of Analytics Professionals of Australia and the leader in business analytics software – SAS.
Enter the revolutionary area of big data where there is an acute shortage of data scientists. This is expected to drive future growth in the data science workforce, with an annual growth rate of 2.4% between 2016-17 and 2021-22 (which is stronger than the 1.5% per annum growth forecast for the entire Australian labour force)1.

Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of ‘Big Data’, and to a new career of ‘data scientist’. Data scientists find patterns, making meaning and drawing value from the seeming chaos.

Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate insights based on data.

Applicants to the Master of Data Science will normally have:

A Bachelor degree in Information Technology, or in Mathematics from a recognised higher education institution; OR
A Graduate Certificate in Data Science or Graduate Diploma in Data Science or equivalent from a recognised higher education institution.

English Language Requirements:

IELTS score of 6.5 (with 6.0 in Reading and Writing); TOEFL iBT score of 79 with Reading and Writing not less than 18; TOEFL paper-based test (PBT) score of 577 with TWE of 4.5; Cambridge CAE/CPE score of 177; Pearson's test of English (Academic) (PTE) score of 58 with Reading and Writing communicative scores not less than 50; CELUSA score of AE5.