CQUniversity Unit Profile

In Progress

Please note that this Unit Profile is still in progress. The content below is subject to change.
MRKT20056 Digital Marketing and Machine Learning
Digital Marketing and Machine Learning
All details in this unit profile for MRKT20056 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

Digital marketing is fundamentally crucial to any business success nowadays, and has become every marketer’s Best Friend Forever (BFF). In this unit, you will refresh your mindset with a wide range of essential digital marketing concepts and theories, and will turbocharge your skillset in relation to web, search, content, social media, and mobile marketing. You will also learn how advancements in marketing technology in particular machine learning are revolutionising marketing practices and enabling smarter marketing. This unit aims to ultimately take your marketing expertise to the next level.

Details

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 6
Student Contribution Band: 10
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Pre-requisite: MRKT20052.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 2 - 2024

Brisbane
Melbourne
Online
Sydney

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Student feedback.

Feedback

Positive comments about the teaching staff involved in delivering this unit.

Recommendation

The teaching staff in the future offerings of this unit will be encouraged to keep delivering the unit contents in an effective, supportive, and engaging manner.

Feedback from Staff self-reflection.

Feedback

The designing of assessments in this unit has been based on reaching a balance of involving valuable theoretical aspects and a high level of relevancy to the real-world scenarios.

Recommendation

The teaching staff in the future offerings of this unit will be encouraged to continue the practice of designing assessments that integrate critical theoretical aspects and are highly relatable to real-world contexts.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Evaluate and communicate a range of digital marketing concepts and theories and their application to business contexts
  2. Assess and evaluate contemporary tools and practices in relation to web and search marketing
  3. Analyse and understand pivotal trends and opportunities in relation to content, social media, and mobile marketing
  4. Demonstrate a comprehensive understanding of the major advancements in marketing technology as well as the critical roles of machine learning in the ongoing marketing revolutions.
Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4
1 - Written Assessment - 40%
2 - Written Assessment - 60%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
8 - Aboriginal and Torres Strait Islander Cultures
Textbooks and Resources

Information for Textbooks and Resources has not been released yet.

This information will be available on Monday 17 June 2024
Academic Integrity Statement

Information for Academic Integrity Statement has not been released yet.

This unit profile has not yet been finalised.