Units in second semester 2020 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
CRICOS
092979A
Duration
6 months full-time
Credit
100
Location
Curtin Perth

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

Top 1%

Curtin is ranked in the top one per cent of universities worldwide (Academic Ranking of World Universities 2019)

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. 

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

Entry requirements

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)
Writing 6.0
Speaking 6.0
Reading 6.0
Listening 6.0
Overall band score 6.5
  • Pearson Test of English Academic: 60
  • Certificate in Advanced English (CAE): 176

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 at another educational institution, or you may have work experience that matches the degree requirements.

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: ci-enquiries@curtin.edu.au
Tel: 1300 222 888

CRL search

Fees & charges

International student indicative fees for 2020

Fee year: 2020

International onshore – fee paying Cost
Offer letter (100 credit) published fee $15,500*
Total indicative course fee $15,500*
Indicative year 1 fee $15,500*

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).

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. For information about fees at other locations please contact the relevant campus or partner institution by visiting Curtin International’s offshore site.

Location

For start dates, please view the academic calendar.

On Campus

Semester 1

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

Help is at hand

  • 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 8, 2020