Updating Results

Curtin University

  • 28% international / 72% domestic

Predictive Analytics: Graduate Diploma in Predictive Analytics

  • Graduate Diploma

This course provides an in-depth background to predictive analytics, covering data security, data mining, business applications, and computing, including basic concepts of data analysis and visualisation.

Key details

Degree Type
Graduate Diploma
Duration
1 year full-time
Course Code
GD-PREDAN, 092978B
Study Mode
In person
Intake Months
Feb, Jul
International Fees
$41,766 per year / $41,766 total

About this course

Overview

This course will provide you with an in-depth background to predictive analytics, data security, data mining, business applications and computing, including basic concepts of data analysis and visualisation.

What you'll learn
  • assess the theoretical background basis of data analytics and data processing of unstructured data to produce a qualified interpretation of the data
  • evaluate the various approaches to data analysis and develop a strategy for adapting them to a specific situation
  • evaluate and synthesise information from a variety of sources and develop a plan to optimise data management, processing and prediction
  • communicate effectively with a wide range of people from different discipline areas, professional positions and countries; able to communicate data analysis findings in a variety of ways via written, verbal or electronic communications
  • evaluate and select appropriately from existing and emerging data analysis and prediction technologies
  • engage in continual updating of knowledge with regard to new and emerging prediction analysis concepts, issues and management strategies
  • evaluate, interpret and apply the international standards related to the predictive analytics industry. Solve problems with a global perspective
  • identify the ethical issues related to protecting the rights of individuals from diverse cultures including Indigenous perspectives and how that maps to ensuring the quality and integrity of data collected and analysed
  • apply lessons learnt in a professional manner in all areas of prediction design, demonstrating leadership and ethical behaviour at all times

Entry requirements

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.

Specifically, students require a Bachelor's 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

What you will learn

What you'll learn

  • assess the theoretical background basis of data analytics and data processing of unstructured data to produce a qualified interpretation of the data
  • evaluate the various approaches to data analysis and develop a strategy for adapting them to a specific situation
  • evaluate and synthesise information from a variety of sources and develop a plan to optimise data management, processing and prediction
  • communicate effectively with a wide range of people from different discipline areas, professional positions and countries; able to communicate data analysis findings in a variety of ways via written, verbal or electronic communications
  • evaluate and select appropriately from existing and emerging data analysis and prediction technologies
  • engage in continual updating of knowledge with regard to new and emerging prediction analysis concepts, issues and management strategies
  • evaluate, interpret and apply the international standards related to the predictive analytics industry. Solve problems with a global perspective
  • identify the ethical issues related to protecting the rights of individuals from diverse cultures including Indigenous perspectives and how that maps to ensuring the quality and integrity of data collected and analysed
  • apply lessons learnt in a professional manner in all areas of prediction design, demonstrating leadership and ethical behaviour at all times

Credit for prior study or work

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

How to apply

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