UnitLevel 5Postgraduate

MKM5202 Emerging tech and AI applications in marketing

Faculty of Business and Economics

MKM5202 Emerging tech and AI applications in marketing is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2027. It needs MKM5955.

Credit points
6
Offered in 2027
Not offered
Assessment
No exam
2 tasks

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Requisites

Before MKM5202

After MKM5202

No unit lists MKM5202 as a prerequisite in the 2027 handbook.

Overview

This unit explores the transformative role of emerging technologies and artificial intelligence (AI) in contemporary marketing. You will critically examine cutting-edge tools and platforms, such as AI-driven analytics, automation, and personalisation technologies, to understand how they reshape customer engagement, brand management, and overall marketing strategy. Emphasis is placed on developing the ability to evaluate the strategic potential of these innovations within diverse business contexts. Beyond technology, the unit addresses the ethical, legal, and societal challenges that arise from adopting AI in marketing practices. You will investigate responsible innovation frameworks and develop practical strategies to navigate potential risks, ensuring sustainable and ethical implementation. Through a combination of theory, case studies, and projects, learners will design data-informed, AI-enabled marketing solutions that align with organisational goals and evolving market demands.

Offerings in 2027

The 2027 handbook lists no offerings for MKM5202.

Assessment

  • Artefact
    60%
  • Project
    40%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    critically assess emerging technologies and AI-driven tools within marketing, examining their potential to transform customer engagement, brand strategy, and organisational performance

  2. 2

    design data-informed, AI-enabled marketing strategies that integrate advanced analytics, automation, and personalisation to address complex business challenges

  3. 3

    examine the ethical, legal, and societal implications of implementing AI and emerging technologies in marketing, and propose strategies to address potential risks and ensure responsible innovation.

Workload and teaching

  • Tutorials24 hours
  • Teaching approachActive learning
  • Teaching approachCase-based teaching
  • Teaching approachProblem-based learning
  • Teaching approachEnquiry-based learning
  • Teaching approachSimulation or virtual practice

This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.

This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems

This unit engages you in enquiry-based learning, where you will be encouraged to use your own knowledge to develop and engage in a process of enquiry, study and research to identify areas to be investigated and an approach to doing so.

This unit allows you to engage in guided, immersive experiences to develop relevant skills, knowledge and attitudes through simulation or virtual practice.

Common questions

What are the prerequisites for MKM5202?

You need MKM5955 before you enrol.

When is MKM5202 offered?

MKM5202 has no offerings listed in the 2027 handbook.

Does MKM5202 have an exam?

No. MKM5202 has 2 assessment tasks and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Marketing
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 4
Study abroad
Not available
Handbook years
2027