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

    Artificial Intelligence in Business Analytics Projects
  • Unit Code

    SBL3401
  • Year

    2025
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

  • Unit Coordinator

    A/Prof Laurie HUGHES

Description

This unit explores the integration of Artificial Intelligence (AI) in business analytics projects, focusing on practical applications and strategic implications. Students will learn how AI can enhance business processes, decision-making, and competitive advantage. The curriculum covers key AI technologies, implementation challenges, and ethical considerations. Through case studies and hands-on lab-based project work, students will develop the skills to design, deploy, and manage AI-driven business solutions.

Prerequisite Rule

Student must have completed 180 credit point before enrol into this unit

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply business analytics and AI skills to effectively solve complex business problems.
  2. Evaluate the ethical challenges of implementing business analytics and AI in business projects.

Unit Content

  1. Formulating the problem – asking the right questions.
  2. Business analytics lifecycle.
  3. Methodological approaches and teamwork.
  4. Managing risk in analytics projects.
  5. Developing a client data model/mappings.
  6. Use of digital and AI tools.
  7. Identifying and managing bias in data.
  8. Background to foundational models in Generative AI.
  9. Building AI models to solve analytics problems.
  10. Testing and validating AI models.
  11. Analysing results and communicating findings from a business perspective.
  12. Ethics and AI in business projects.

Assessment

GS2 GRADING SCHEMA 2 Used for Undifferentiated Pass/Fail units inc. practical units or work-integrated learning

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.

ON CAMPUS
TypeDescription
Portfolio ^Business Analytics Project Scenario
ONLINE
TypeDescription
Portfolio ^Business Analytics Project Scenario

^ Mandatory to Pass


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.

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