MIS384 - Marketing Analytics

Unit details

Note: You are seeing the 2020 view of this unit information. These details may no longer be current. [Go to the current version]
Year:

2020 unit information

Important Update:

Classes and seminars in Trimester 2, 2020 will be online.

Last updated: 2 June 2020

Enrolment modes:Trimester 1: Burwood (Melbourne), Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Ali Tamaddoni
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.

Scheduled learning activities - campus:

1 x 2 hour class and 1 x 1.5 hour practical (lab) per week

Scheduled learning activities - cloud:

11 x 1.5 hour class (recordings provided) + 11 X 1.5 hour online seminar

Content

The Marketing Analytics unit focuses on models and techniques of analysing a firm’s performance in a market which then can help decision makers to better allocate their resources. The teaching materials are organized in a way that expose students to both theoretical and practical aspects of models and techniques. Regarding this, a 1.5 hour class, is followed by a 1.5 hour seminar 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).

 

These are the Learning Outcomes (ULO) for this Unit
At the completion of this Unit, successful students can:

 

Deakin Graduate Learning Outcomes

ULO1

To apply analytics models to a wide range of marketing.

GLO1: Discipline-specific knowledge and capabilities

ULO2

Communicate the findings in writing in a way that is useful for decision makers with no knowledge of technical language.

GLO2: Communication

ULO3

Use computer software to analyse consumers’ data and understand the strength 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

ULO5

Demonstrate individual comprehensive understanding of marketing analytics models.

GLO1: Discipline-specific knowledge and capabilities

 

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)		 Indicative due week 
Assessment 1: (Individual) – Problem based written assignment 1500 words 20% Week 6
Assessment 2: (Group of 3 students) – Problem based written assignment 2000 words 30% Week 8
Closed Book Examination 2 hours 50% Exam period

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.

Hurdle requirement

Hurdle Requirement: must achieve at least 50% of the marks available on the examination

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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