The University of Southampton
Courses

MANG2048 Analytics for Marketing (SIM)

Module Overview

This module introduces some key concepts about the use of some basic statistical and analytical techniques within the marketing context. Students will learn through a combination of lectures, group work, practical (computer-lab) sessions (where needed), and self-study. After studying this module, students will be able to apply these techniques to analyse data in practice.

Aims and Objectives

Module Aims

This module will introduce the key concepts in statistics and analytics. It focuses on giving students an understanding of how to undertake statistical analysis within a marketing context. This module will explain and describe the use of statistics and analytics in marketing. Specifically, the module will cover data types, probability, univariate statistics, distributions, hypothesis testing, comparisons of means tests, and relationship tests. You will learn how to use these tools using various accessible software of data analytics. This will enable students to undertake analysis in most business environments, ranging from SMEs through to large corporations.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • How to use analytic techniques to evaluate the quality of data for supporting marketing decisions;
  • How to apply standard analytical tools to support marketing decisions.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Differentiate suitable approaches for a range of analytics tasks;
  • Implement analytic models to support marketing decision making.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Explain concepts clearly and critically apply findings.
Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • Apply and critically evaluate marketing intelligence techniques and use them to draw practical recommendations;
  • Apply marketing concepts and evaluate them by using marketing intelligence techniques.

Syllabus

• Data types and their sources • Univariate/Descriptive statistics • Probability, cross tabulation and chi square • Discrete, Continuous and Sampling distributions • Interval estimation • Hypothesis testing • Comparisons of means • Correlation and linear regression

Learning and Teaching

Teaching and learning methods

Typically you will study the module over 4 weeks with the first 2 weeks having intensive teaching in the form of lectures, and seminars which will include individual and group practical exercises, workshops, case studies. The following 2 weeks will be organised self-study (reading designated texts, journal papers and critical discussion with peers), and preparation of assessed coursework. You will be expected to play a highly interactive part in lectures and seminars. Where an examination is involved this will take place at the end of the module at a designated time. A revision session will prepare you for assessment. As with all programmes in the Faculty, student learning will also be supported by published course materials and Blackboard: the University's virtual learning environment. Summary of assessment methods.

TypeHours
Follow-up work32
Preparation for scheduled sessions11
Lecture24
Practical classes and workshops10
Revision30
Wider reading or practice15
Completion of assessment task28
Total study time150

Resources & Reading list

Winston, W. L. (2014). Marketing Analytics: Data-Driven Techniques with Microsoft Excel. 

Diez, D. M., C. D. Barr, M. Cetinkaya-Rundel. (2015). OpenIntro Statistics. 

Assessment

Formative

Class Exercise

Summative

MethodPercentage contribution
Individual essay  (3000 words) 100%

Repeat

MethodPercentage contribution
Individual essay  (3000 words) 100%

Referral

MethodPercentage contribution
Individual essay  (3000 words) 100%

Repeat Information

Repeat type: Internal & External

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Textbooks

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase the core/recommended text as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

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