Key facts

UNE unit code: DCM403

*You are viewing the 2024 version of this unit which may be subject to change in future.

Start
  • Block A - Online
  • Block B - Online
  • Block D - Online
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • No
Credit points
  • 6

Unit information

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This unit will introduce you to the processes of capturing and examining big data to develop your understanding of its context and relevance in data-driven business decision making.

Most significantly, you will examine methods and applications for collecting, analysing, interpreting and visualising big data to obtain relevant insights for business decision making.

You will examine systems that support big data, such as cloud computing and the Internet of Things (IoT).

Using examples, you will investigate data analytics approaches such as predictive and prescriptive analytics, data mining, artificial intelligence (AI), machine learning and deep learning.

This unit will equip you with the skills to visualise and predict trends so that you can set up metrics to measure efficiencies.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Block AOnline
Block BOnline
Block DOnline

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
candidature in GradCertDataCyberMgt or MBA(DataCyberMgt)

Notes

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

Anna Ankenbrand

Learning outcomes

Upon completion of this unit, students will be able to:

  1. critically evaluate the role of big data in driving business agility and innovation;
  2. review and evaluate infrastructure and information systems use in leveraging big data;
  3. review and critically evaluate data discovery methods, information visualisation and prediction of trends used to inform business decision makers; and
  4. demonstrate a grasp of the seminal business intelligence frameworks and academic theories.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Assessment 1: Big Data ProposalYes60%All offerings

Word Count: 3000

Discussion QuestionYes20%All offerings

Word Count: 500

Discussion Question [Reflection]Yes20%All offerings

Word Count: 500

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.

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At UNE we know it takes more than just being online to be a great online university. It takes time and experience. We pioneered distance education for working adults back in the 1950s, so we’ve been doing this longer than any other Australian university.

We understand the challenges faced by busy adults studying at home. We know that a vital part of online study is your engagement with the learning community. Communication with your classmates, teaching staff and university support staff will enhance your study experience and ensure that your skills extend beyond the subject matter. UNE’s teaching staff are experts in their field which is why UNE consistently receives five stars from students for teaching quality, support and overall experience.*

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