• Annual course fee

    AUD 60,000

  • Duration

    1 Year

  • Post study work visa

    2 Years

  • Intake months

    September

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Students from Australia are accepted for this course

Develop a strong foundation in the theory and practice of data science, and learn specialist skills in statistics. Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields. This course will provide you with the tools to become an industry expert with a strong mathematical foundation. You’ll learn strong statistical foundations of universal relevance as well as gain expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data. You’ll also study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets. This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you the foundation level statistical knowledge and general programming skills required of data scientists. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real world data using more advanced analytical techniques.

Visit official website for program curriculum

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Academic

You must have successfully completed an UK Bachelor degree (or equivalent overseas qualification) or/with full-time or equivalent, work experience in a relevant industry setting. Meeting the minimum academic requirements does not guarantee entry. Your application will still need to be assessed and accepted. If you dont meet the entry requirements, there may be other programs you are eligible for that can lead you to your preferred program.

IELTS 6.5

PTE 62

TOEFL 90

  • Type of institution

    University

  • Year established

    1966

  • On campus accommodation

    Available

Ranking

  • the

    THE rank

    251 - 300
  • arwu

    ARWU rank

    34 - 38

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