• Application Deadline
  • 24 months
    Duration
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.
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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

Programme Structure

Courses include:

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

Detailed Programme Facts

  • Programme intensity

    You can choose to do this programme part-time or full-time.

    Full-time
    • Full-time duration 24 months
    • Duration description

      Standard 2 years full-time, or part-time equivalent. Maximum duration - 6 years.

    Part-time
  • Credits
    48 alternative credits
  • Languages
    • English
  • Delivery mode
    On Campus, Blended, Online
  • More information Go to the programme website

English Language Requirements

You need the following TOEFL iBT ® score:

  • Minimum required score:

    79

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®

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

  • International

    33000 AUD/year
    Tuition Fee
    Based on the original amount of 33000 AUD per year and a duration of 24 months.
  • National

    28900 AUD/year
    Tuition Fee
    Based on the original amount of 28900 AUD per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Canberra

  • 1425 - 2510 AUD/month
    Living Costs

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

Funding

Check the programme website for information about funding options.

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.

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