Studyportals
Master On Campus

Data Science

University of South Australia

24 months
Duration
34800 AUD/year
30000 AUD/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Data Science degree from University of South Australia 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. 

Overview

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.

Your career after the Data Science degree from University of South Australia

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 world.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.

Programme Structure

Courses include:

  • Big Data Basics
  • Statistical Programming for Data Science 
  • Statistics for Data Science
  • Predictive Analytics
  • Data Visualisation 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details
  • There is no closing date for submitting your application

Credits

72 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • CRICOS CODE: 079912G
  • Applicants to the Master of Data Science will normally have:
  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    34800 AUD/year
    Tuition Fee
    Based on the tuition of 34800 AUD per year during 24 months.
  • National

    30000 AUD/year
    Tuition Fee
    Based on the tuition of 30000 AUD per year during 24 months.

Living costs for Adelaide

1328 - 2474 AUD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science
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University of South Australia

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