Apply for Graduate Certificate in Predictive Analytics

Graduate Certificate in Predictive Analytics
GC-PREDAN

Predictive Analytics

Graduate certificate

Learn concepts of data analysis, computing and visualisation, and how analytics can be used to predict future scenarios.

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Course outline
  • Qualification
    Graduate Certificate in Predictive Analytics
  • Duration

    Duration

    6 months full-time
  • Credit

    Credit

    100
  • CRICOS

    CRICOS

    092979A
  • Location

    Location

    Curtin Perth
Course outline

Deadlines for applying direct to Curtin

Select your preferred campus:

Intake Application open Application close

Semester 1, 2024

1 May 2023

Applications now closed!

Semester 1, 2025

Applications now open!

6 February 2025

Course outline

Outline

Outline

You will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation. You will also find out how these concepts can be used to predict future scenarios.

Please refer to the handbook for additional course overview information.

How this course will make you industry ready

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.

What jobs can the Predictive Analytics course lead to?

Experts in predictive analytics are well placed to handle the ‘big data’ issues of the future. They understand how to overlay historical and prediction data with supply chain financial and other business data, and are able to correlate probability assessments for better informed decisions.

What you'll learn

  • comprehend the theoretical background of data analytics and data processing of unstructured data for correct interpretation of the data
  • explain the various approaches to data analysis and appreciate strategies for adapting them to a specific situation
  • assess information from a variety of sources and assisting to develop a plan to optimise data management, processing and prediction
  • communicate data analysis findings in a variety of ways via written, verbal or electronic communications
  • assist in evaluating and selecting appropriately from existing and emerging data analysis and prediction technologies
  • utilise fundamental knowledge to enable further study of new and emerging prediction analysis concepts, issues and management strategies
  • identify the international standards related to the predictive analytics industry; consider issues with a global perspective
  • articulate the ethical issues related to protecting the rights of individuals from diverse cultures; inclusive of Indigenous perspectives and how that maps to ensuring the quality and integrity of data collected and analysed
  • apply lessons learnt in a professional manner to assist in all areas of prediction design, demonstrating leadership and ethical behaviour at all times

Admission criteria

What you need in order to get into this course. There are different pathway options depending on your level of work and education experience.

A recognised bachelor degree.

English requirements

Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.

You may demonstrate English proficiency using the following tests and qualifications.

IELTS Academic (International English Language Testing System)

Writing

6.0

Speaking

6.0

Reading

6.0

Listening

6.0

Overall band score

6.0

Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Australian and New Zealand student indicative fees

2024 Fee year:

$4,800*

Commonwealth supported

Commonwealth supported

$15,482*

Domestic

Domestic

Fees are indicative first year only and are subject to passage of legislation.

*The indicative first-year fee is calculated on 200 credit points, which is the typical full-time study load per year, however some courses require additional study to be completed, in which case the fee will be higher than that shown.

This fee is a guide only. It may vary depending on the units you choose and does not include incidental fees (such as lab coats or art supplies) or the cost of your textbooks – visit other fees and charges for more information. For more information on fees and to determine your eligibility for HECS-HELP or FEE-HELP, please visit fee basics or the Study Assist website

To be eligible for the Commonwealth supported fee:

  • Australian citizens must complete some of their course of study while residing in Australia.
  • Australian permanent residents or New Zealand citizens must be residing in Australia for the entire course.

For further information on eligibility please refer to the Australian Government Study Assist website.

If you’re not an Australian citizen, permanent resident or New Zealand citizen, please see information for international students.

Fees are indicative only.

* Based on a first-year full-time study load of 100 credits. The total cost will depend on your course options (i.e. units selected and time taken to complete).

Looking for more detail on the course structure?

View course structure

Location

For start dates, please view the academic calendar.

Curtin Perth flag

2024

Semester 1
  • On campus

2025

Semester 1
  • On campus

2026

Semester 1
  • On campus

All endeavours are made to ensure location information for courses is up to date but please note they are subject to change.

The University reserves the right to withdraw any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/or to vary arrangements for any program.

How to apply

Please review information on how to apply for the campus of your choice

Please note that each campus has different application deadlines. Please view our application deadlines page for further information.

Frequently asked questions

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  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

    View courses information disclaimer.

  • Curtin course code: GC-PREDAN
  • CRICOS code: 092979A
  • Last updated on: 15 June 2024

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Apply for Graduate Certificate in Predictive Analytics