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Units in first semester 2021 may be delivered online and in alternative formats whilst restrictions in relation to the COVID-19 pandemic are in place.

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Predictive Analytics

Graduate Certificate

GC-PREDAN

Course
Graduate Certificate in Predictive Analytics
Duration
6 months full-time
Credit
100
Location
Curtin Perth, Curtin Singapore

Outline

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

Male student using laptop in front of large amount of cables

Cutting-edge

Learn to apply your studies to real industry challenges and situations.

Industry links

Work on projects for Innovation Central Perth, the Curtin Institute for Computation and Curtin's other industry partners. 

Top 1 %

Curtin is ranked in the top one per cent of universities worldwide.

Academic Ranking of World Universities 2020.

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.

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

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.

Career information

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

A recognised bachelor degree.

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

IELTS Academic (International English Language Testing System)
Writing6.0
Speaking6.0
Reading6.0
Listening6.0
Overall band score6.5
  • Pearson Test of English Academic:
  • Certificate in Advanced English (CAE):

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

Advanced standing

At Curtin, we understand that everyone’s study journey has been different.

You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.

If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.

A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.

CRL is also known as recognition of prior learning, advanced standing and credit transfer.

Use the CRL search to find out how much CRL you qualify for, or contact us at:

Email: crl@curtin.edu.au

Tel: 1300 222 888

CRL search

Fees & charges

Domestic fee paying postgraduate

Fee year: 2021

Student typeCost
Domestic $13,700*

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).

Use the Fee Calculator for an estimate of individual unit fees. There may also be some additional costs. For more information, see other fees and charges.

Location

For start dates, please view the academic calendar.

Curtin Perth flag

2021

Semester 1
  • On Campus

2022

Semester 1
  • On Campus

2023

Semester 1
  • On Campus

2024

Semester 1
  • On Campus
Curtin Singapore flag

2021

Trimester 1A
  • On Campus
Trimester 2A
  • 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.

Apply now
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Opening hours:
Mon to Fri: 8.30am – 4.30pm, except Tues: 9.30am – 4.30pm (AWST). Closed public holidays.
  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information. View courses information disclaimer.

  • Curtin course code: GC-PREDAN
  • CRICOS code: 092979A
  • Last updated on: April 22, 2021