MIS384 - Marketing Analytics

Unit details

Year:

2024 unit information

Enrolment modes:Trimester 1: Burwood (Melbourne), Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Bingqing XIONG
Prerequisite:

MIS171

Corequisite:Nil
Incompatible with: Nil
Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

This will include educator guided online learning activities within the unit site.

Educator-facilitated (scheduled) learning activities - on-campus unit enrolment:

1 x 1.5 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour on-campus practical experience (laboratory) each week

Educator-facilitated (scheduled) learning activities - online unit enrolment:

1 x 1.5 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week

Content

The Marketing Analytics unit focuses on models and techniques of analysing marketing performance from different perspectives which then can help decision makers to better allocate their resources. The teaching materials are organised in a way that expose students to both theoretical and practical aspects of models and techniques. Regarding this, a 1.5 hour lecture, is followed by a 1.5 hour practical learning (laboratory) where students have the opportunity to get their hands on data (mostly from real cases) to implement the techniques and models. Students will also be required to conduct data analysis (assessments 1 and 2) and write a business report based on their findings (assessments 1 and 2).

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Apply analytics models to a wide range of marketing activities.

GLO1: Discipline-specific knowledge and capabilities

ULO2

Communicate in writing, information relevant for decision makers with no knowledge of technical language.

GLO2: Communication

ULO3

Use computer software to analyse consumers’ data and evaluate the strengths and limitations of each software. 

GLO3: Digital literacy

ULO4

Analyse and interpret the output of a range of marketing analytics models in order to improve the decision making process.

GLO5: Problem solving

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Assessment 1: (Individual) Case study: Data analysis with written report (Analytical) Data Analysis File plus 1000 word 20% Week 5
Assessment 2: (Group of 3) Case study: Data analysis with written report (Business) Data Analysis File plus 2000 words  40% Week 9
Assessment 3: (Individual) Case Study: Data analysis with written report (Business) 2000 words 40% Information not yet available

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS384 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

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