24 months
Duration
31300 AUD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Predictive Analytics course from Curtin University addresses the growing demand for data analysts and scientists that have the right blend of technical and analytical skills to meet big data analytics challenges.   

Visit the official programme website for more information

Overview

It emphasises the integration of technical and business skills. You will learn advanced skills in data management, data mining, decision methods, predictive analytics and visualisation, focusing on their applications to disciplines such as engineering, management, business and finance. 

You will also have opportunities to work on projects for various industries and organisations, or on analytical problems through industry sponsored projects, Innovation Central Perth, the Curtin Institute for Computation and others. 

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.

Career information

This Predictive Analytics course from Curtin University will help you become a:

  • data analyst
  • operation and business consultant in resource engineering/asset management/finance.

The course will develop:

  • Resource Operations Engineers with a strong knowledge of data analytics
  • Scientists with the ability to improve and develop new prediction software
  • Business graduates with an excellent understanding of the science and application of predictive analytics
  • Finance graduates with an ability to apply predictive analytics to finance and investment forecasting decision making processes.

In addition, these graduates will be well placed to handle the ‘big data’ issues of the future, understand how to overlay historical and prediction data with supply chain financial and other business data and correlate probability assessments for better informed decisions.

Programme Structure

Courses include:

  • Data Management
  • Concepts of Data Security
  • Decision Methods and Predictive Analytics
  • Business Quantitative Techniques
  • Programming  
  • Management and Organisational Behaviour
  • Data Structures and Algorithms
  • Data Mining

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

400 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

CRICOS code: 092977C  

  • Bachelor's degree in science, engineering, business or commerce from a recognised university.

Tuition Fee

To alway see correct tuition fees
  • International

    31300 AUD/year
    Tuition Fee
    Based on the tuition of 31300 AUD per year during 24 months.

Living costs for Perth

1328 - 2367 AUD /month
Living costs

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

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

Predictive Analytics
-
Curtin University

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