School: Business and Law

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Data Analytics & Organisational Decision Making
  • Unit Code

    MBA6045
  • Year

    2025
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    Online
  • Unit Coordinator

    Dr Senali MADUGODA GUNARATNEGE

Description

This unit will develop and enhance students’ conceptual and practical understanding of big data and analytics in a business context. Students will explore how to tackle the many issues that are associated with evidence-based decision making such as information governance, privacy, security, ethical considerations, understanding the value of a company’s data and developing a business case to implement.

Non Standard Timetable Requirements

This unit will be offered in an accelerated mode over six weeks.

Equivalent Rule

Unit equivalent to SBL6055

Learning Outcomes

On completion of this unit students should be able to:

  1. Explain the critical roles of big data and data analytics in contemporary decision-making for executives and management in various organisational contexts.
  2. Evaluate how big data and data analytics may be used to solve problems in contemporary organisations.
  3. Communicate effectively as a professional, and show leadership, in discussing and understanding the issues associated with information governance, privacy, security, and ethical considerations.
  4. Research and develop a business justification for an organisation that the student is familiar with for investing in and deploying resources to utilise big data and data analytics.

Unit Content

  1. Importance of data analytics for business decision making
  2. Creating a data-informed decision-making culture
  3. Data governance, privacy, security, and ethical considerations
  4. Descriptive analytics
  5. Leveraging big data
  6. Marketing analytics (including social media analytics)
  7. People (or HR) analytics
  8. Experimentations
  9. AI and Machine Learning
  10. Prescriptive analytics
  11. Data visualisation and storytelling
  12. Developing a business case for utilising big data and data analytics

Learning Experience

Students will engage in learning experiences via ECU’s LMS as well as additional ECU learning technologies

Additional Learning Experience Information

This unit will be offered in an accelerated mode over six weeks. Students will navigate resources, videos, academic and non-academic readings in order to engage with, and complete, weekly learning activities and assessments and will have access to a learning facilitator, who can respond to their queries, and provide tailored feedback on tasks. This unit uses principles associated with authentic learning to introduce students to realistic business situations that require analysis using relevant concepts and skills.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ONLINE
TypeDescriptionValue
Case StudyReview of a case study20%
AssignmentIndividual assignment40%
Research PaperResearch and creation of a business justification/case40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Assessment

Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

MBA6045|1|1