Master of Data Science

Entry requirements

Duration
2 YEAR(S) FULL-TIME
Scholarship
NO
Fee
AUD$ 38,500 PER ANNUM
Intake
FEBRUARY JULY

a Bachelor degree or equivalent from a recognised higher education institution with a minimum of one year of full-time study in Mathematics or Information Technology or Data Science or a combination thereof; OR

a Graduate Certificate or Graduate Diploma in Data Science or equivalent from a recognised higher education institution.

English language entry requirements

In addition to meeting academic entry requirements, international students who speak English as a second or additional language must also meet the University's English language entry requirements. The minimum language requirements for this program are:

English language test

IELTS total [6.5]

IELTS reading [6.0]

IELTS writing [6.0]

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Degree overview

Study at the No.1 university in SA for I.T. facilities1 and learning resources in I.T.2.

Enter the revolutionary area of big data where there is an increase in demand for data science skills3.

Learn to analyse and visualise rich data sources, how to spot data trends, and to generate data management strategies.

Complete coursework designed with industry including the Institute of Analytics Professionals of Australia and one of the leaders in business analytics software – SAS.

Use Python, R, SAS, Hadoop as well as other tools used by data science professionals.

Career outcomes

Your career

The field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation. Analytics, science, data, and reasoning are becoming embedded into decision-making processes, every day and everywhere in the business world1.

Careers to consider:

Statistician – As a statistician, your responsibilities include but not limited to is to conduct analyse on data, create projections and interpretations. You will be relied upon to produce statistical inferences based on data collected or available in the organisation. In addition, you might be responsible for new projects and requesting certain datasets. It will be assumed that you have a strong background in statistics, and can create statistical models and apply techniques to make good business decisions.

Data Modeller/Architect – As a data modeller or architect, your responsibilities are concentrated around modelling situations and deducing outcomes by using data. You may be consider an architect in the company since you will build systems both statistically and IT facing to solve problems and model current operations. This will require you to have an in-depth knowledge of databases, predictive analytics and advanced mathematical techniques to solve problems.


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