24 months
Duration
33000 AUD/year
28900 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

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

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

48 alternative credits

Delivered

On Campus, Blended, Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
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GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
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Read more about GRE®
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.
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English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5 (required)
Schedule IELTS
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
79 (required)
Schedule TOEFL®
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
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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

  • 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.

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

Official programme website
Data Science
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University of Canberra
Official programme website

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