Updating Results

Macquarie University

  • 26% international / 74% domestic

Macquarie University Courses

Non-Award

Gain advanced-level theoretical and practical knowledge of fintech, as well as an understanding of major technological trends in the banking and finance sector.

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The Statistical Data Science major will provide you with a versatile skill set that combines statistical thinking and computational techniques.

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Develop practical skills in journalism and non-fiction writing. Critically analyse the role of media and how news is generated, reported and transformed online.

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As a software specialist, you'll control computers by programming them - from the smallest embedded devices to the largest centralised servers.

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Acquire accounting qualifications that are fully recognised by CPA Australia, Chartered Accountants Australia and New Zealand (CA ANZ) and ACCA.

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Develop the sought-after ability to analyse data sets - including big data - using modelling techniques, machine learning and data mining to problem-solve.

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Gain the skills to advance your finance career. Study areas such as business valuation, capital markets, financial modelling and forecasting, and investments.

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Learn fundamental physics concepts and principles while developing skills in problem solving, numerical analysis, lab techniques and communication.

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Learn about corporate finance, financial analysis and portfolio management, with complementary knowledge in statistics, computing, actuarial studies and more.

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Gain essential career skills and study fascinating taxa ranging from microbes to fungi, plants and animals, with a focus on Australia's unique biodiversity.

Masters (Coursework)

Gain technical knowledge and practical training in cybersecurity. Learn about cryptography, networks, artificial intelligence and mobile data communications.
Duration
2 years full-time
Study Mode
In person

Masters (Coursework)

Develop your knowledge of programming, databases, applied statistics, machine learning applied to big data, and essential ethical and collaborative skills.
Duration
2 years full-time
Study Mode
In person
Graduate Satisfaction
71.40%