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.
Key details
Degree Type
Graduate Diploma
Duration
1 year full-time
Course Code
092978B
Study Mode
In person
International Fees
$34,060 total
About this course
OverviewOverview
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
Study locations
Perth
What you will 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
Graduate outcomes
Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Curtin University.