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    Predictive Analytics
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    Curtin University

    Predictive Analytics

    Curtin University

    Curtin University

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    Australia, Perth

    University RankQS Ranking
    184

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    092979A

    Campuses

    Curtin Perth

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines22-Jul-2024
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    AUD 36,162  / year
    Next Intake 22-Jul-2024

    Predictive Analytics

    About

    The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. It is currently the only master degree course in predictive analytics in Australia.

    It is a multidisciplinary degree, in which you can choose from four majors to learn about specific application domains. It introduces advanced skills in data management, mining and visualisation, decision methods and predictive analytics, with a focus on their applications to different disciplines, such as engineering, networking, business and finance.

    You will have opportunities to work on industry-sponsored projects, and participate in Curtin partnerships through Innovation Central Perth and the Curtin Institute for Computation.

    Upon completion of this course, you will be well placed to handle the ‘big data issues of the future, understand how to overlay historical and prediction data with production, financial and other data and correlate probability assessments to make better informed decisions.

    Resource Operations Analytics

    The Resource Operations Analytics major is for petroleum and mining engineers. It gives you the ability to analyse, interpret and utilise complex data analytics relating to resource assets and operations. This major will improve your operational business decision-making, resulting in maximised asset productivity and enhanced business growth.

    This major was the first course in Australia to apply data analytics and big data concepts in practice to optimise operational engineering.

    Finance and Investment Analytics

    The Finance and Investment Analytics major embeds economic and financial econometric analysis within the data and predictive analytic framework. It aims to help you become a data and predictive analytics expert with a working knowledge in economic, finance and business data.

    You will learn to apply your skillset to different business situations, and help inform finance and investment forecasts.

    Internet of Things

    The explosion of embedded and connected smart devices, systems and technologies in our lives has created an opportunity to connect every ‘thing to the Internet. The resultant data collection and connectivity generates huge amounts of data, which needs to be analysed and potentially responded to in real-time. This is disrupting and transforming every industry around the world.

    The Internet of Things Major draws on the fundamentals of Predictive Analytics to teach you the underlying principles and architecture of the Internet of Things, its networks, devices, programming, data and security.

    Data Science

    The Data Science Major consolidates data science and predictive analytics skills through core machine learning and project units along with a range of optional units. These units will extend your knowledge in many areas including artificial intelligence, statistics, programming, security and automation.

    This major is applicable to employment in data analytics across a wide range of fields.

    Why study

    • Data analytics is used to analyse data in order to draw conclusions – whereas predictive analytics is a newly emerging field that allows us to utilise this data in order to predict future outcomes, allowing companies to make better informed decisions and execute efficient strategies on disruptive technologies.
    • Predictive analytics can be applied to many fields of interest, from resource operations engineering, asset management and productivity, and finance and investment, to actuarial science and health economics.

    How this course will make you industry ready

    • You can tailor your degree to suit your career field.
    • Youll gain advanced knowledge and undertake professional practice.
    • Youll work on cutting-edge projects in the space of innovation and commercialisation, drawing on sophisticated research methods and techniques.
    • Youll develop an excellent understanding of the science and application of predictive analytics, and how to improve and develop prediction software.
  • obtain, evaluate and apply relevant processing algorithms to data from a range of sources to solve or predict an operational problem prior to or during an occurrence; use research to apply an understanding of the theoretical basis of data analytics to produce a qualified interpretation of the data.
  • find innovative approaches to improving operations through the combination, generation and analysis of dataanalyse problems in a logical, rational and critical way; identify alternative methods of solving issues and select optimal solutions that provide the best outcomes for both industry and the community.
  • communicate effectively with a wide range of people from different discipline areas, professional positions and countries; communicate data analysis findings in a variety of ways via written, verbal or electronic communications; evaluate and utilise appropriate technology for data analysis and prediction development; appreciate the need for, and develop, a lifelong learning skills strategy in relation to enhanced personal and company performance.
  • recognise the global nature of predictive analytics in industry and apply global standard practices and skills for acceptable prediction outcomes regardless of discipline or geographical location.
  • practise appropriate industry data collection methodologies; work and apply discipline knowledge within the given social or industrial framework; with consideration of and respect for cultural diversity, indigenous perspectives and individual human rights.
  • apply lessons learnt in a professional manner in all areas of prediction design, demonstrating leadership and ethical behaviour at all times.
  • Requirements

    Entry Requirements

  • Completion of 3 year post-secondary (post Year 12 equivalent) qualification OR hold a Bachelor degree (or equivalent) from a recognised University which is comparable to an AQF Associate Degree
  • English Program Requirements

    If English is not your first language, you must also check that you meet English language requirements for your chosen course. Australian students must also meet the English entry requirements.

    Career

    Careers

    • Computer scientist
    • Data analyst
    • Business consultant
    • Operations consultant.

    Industries

    • Big Data
    • Finance
    • Resources engineering.

    Fee Information

    +estimated annual tuition fee for a full-time study load


    Plus Student Services and Amenities fee
    Scholarships and financial aid available if eligible

    Tuition Fee

    AUD 36,162 

    How to Apply

    Have your supporting documents to hand, and ensure they meet our guidelines. The documents may include certified copies of your qualifications, English language proficiency documents and supplementary forms for certain courses.

    If your documents are not issued in English, an official translation from a recognised translation service must be provided.

    Recognised translation services

    • National Accreditation Authority for Translators and Interpreters (NAATI) accredited translator in Australia
    • The Awarding institution
    • A Notary Public Office
    • The official Government body
    • An official and accredited translator*

    *Official translations are subject to review.

    If you have undertaken previous study or work that matches the content of some of your Curtin course units, you may be able to obtain credit for recognised learning, which exempts you from studying those units.

    Applying online: Use the ‘Apply now’ button on the relevant course page and following the prompts.

    Applying by mail or email: Download the International application for admission form [.pdf – 307 kB].

    If you want to package your course with a Curtin English course, you can submit your application with your course application documents to streamline the process.

    If your application is successful, you will receive an offer that you will need to accept or reject.

    If you accept your offer, you will receive a Confirmation of Enrolment ­– a document from Curtin that details your course, how long you will be studying the course, and the tuition fees. This document can be used for acquiring a student visa.

    Apply to the Australian government for your student visa. Gaining a student visa will allow you to participate in full-time study in Australia and work up to 40 hours in a fortnight. If you’re under 18 years of age, you must have approved accommodation and welfare arrangements in place before a visa can be issued.

    See our pre-departure resources for helpful information regarding your move to Perth.

    Curtin University

    Predictive Analytics

    Curtin University

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    Australia,

    Perth

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