Study cover for Data Science
Master On Campus Online Blended

Data Science

University of Canberra

24 months
Duration
33000 AUD/year
29500 AUD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

If you consider yourself a big picture thinker, then the Master of Data Science from University of Canberra is the course for you, as not only will it introduce you to a whole new world of data interpretation, it will also teach you the skills to recognise, interpret and ultimately manage trends at both a micro and global scale. 

Visit the official programme website for more information

Overview

Data analysis and modelling underpins all aspects of social and community development and thanks to the internet and smart phones there has been a dramatic growth in the scale and complexity of data that can be collected and analysed across industries including health care, sports, business practices, scientific discoveries and government policy.

To help process and navigate this vast and ever-growing mass of data, the industry desperately needs trained specialists who can understand and interpret vast amounts of data (big data), while providing effective and ethical ways to protect the privacy of that information.

Using a unique combination of interdisciplinary coursework, a strong background in research methodology and comprehensive training via industry-based projects (work-integrated learning), this course will uniquely position graduates of this course to become leaders in this field in either industry, the government sector or academia.

Study a Master of Data Science at University of Canberra and you will:

  • Learn the knowledge and skills to read and interpret Big Data
  • Become proficient using state-of-the-art industry tools
  • Learn how to critically analyse databases and offer innovative solutions
  • Gain practical skills working on real world issues
  • Learn and apply professional ethics, teamwork, critical analysis, communication and management skills.
  • Build strong industry networks
  • Earn an industry recognised and respected qualification
  • Be in demand

Career opportunities

The amount of digital data being produced daily around the world is phenomenal and as such graduates of the UC Master of Data Science course can expect to find themselves in high demand in any one of the following positions.

  • Data scientist
  • Data engineer
  • Data analyst
  • Business analyst
  • Statistician

Programme Structure

Courses include:

  • Regression Modelling 
  • Inf. Sc. Research Methodology 
  • Pattern Recognition and Machine Learning 
  • Exploratory Data Analysis and Visualisation 
  • Data Capture and Preparations 
  • Programming for Data Science

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

48 alternative credits

Delivered

On Campus, Blended, Online

Academic requirements

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

Other requirements

General requirements

  • An Australian bachelor degree in any field or equivalent.
  • Year 12 mathematics and functional knowledge of using computer systems.

CRICOS Code: 099433A 

Tuition Fee

To alway see correct tuition fees
  • International

    33000 AUD/year
    Tuition Fee
    Based on the tuition of 33000 AUD per year during 24 months.
  • National

    29500 AUD/year
    Tuition Fee
    Based on the tuition of 29500 AUD per year during 24 months.

Living costs for Canberra

1425 - 2504 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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Data Science
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University of Canberra

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