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Consumer Analytics and Marketing Strategy

4.5
3 reviews
  • I enjoyed interacting with my professors without hesitation. They make you feel comfortable and respect your opinions. The quality of the modules is high too.
    |
  • I like to work with real businesses. For my current project my group is analysing real data from Callcredit UK and selecting relevant marketing strategies and consumer behaviours to drive insights for the company.
    |
  • The academic staff at Leeds University Business School are great. They are very knowledgeable as the awards and accreditations show. In addition to this, the Business School offers many opportunities to develop yourself - volunteering, awards and extra-curricular schemes.
    |

Postgraduate

In Leeds

Price on request

Description

  • Type

    Postgraduate

  • Location

    Leeds

  • Start date

    Different dates available

The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.
Taught by leading academics from Leeds University Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.
Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.
Academic excellence
This course offers you a rare combination of teaching expertise; the Business School’s academic excellence in Marketing alongside world-class teaching from the School of Geography, which draws on the knowledge of the Centre for Spatial Analysis and Policy.
The University of Leeds is a major centre for big data analytics and you’ll benefit from affiliation with the UK’s Consumer Data Research Centre. The centre aims to make data that are routinely collected by businesses and organisations accessible for academic purposes. Coordinating and analysing this large and complex data has the potential to increase productivity and innovation in business, as well as to inform public policy and drive development.
Read an interview with the academic team to learn more about our expertise and the growing importance of this emerging subject area.

Facilities

Location

Start date

Leeds (North Yorkshire)
Maurice Keyworth Building, The University Of Leeds, LS2 9JT

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A bachelor degree with a 2:1 (hons) in any subject. Quantitative skills are beneficial but not essential; a willingness to engage with quantitative materials is required.
International qualifications
We accept a range of international equivalent qualifications.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent qualifications.
Improve your English.
If English is not your first language, you may be able to take a pre-sessional course before you begin your studies ...

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Reviews

4.5
excellent
  • I enjoyed interacting with my professors without hesitation. They make you feel comfortable and respect your opinions. The quality of the modules is high too.
    |
  • I like to work with real businesses. For my current project my group is analysing real data from Callcredit UK and selecting relevant marketing strategies and consumer behaviours to drive insights for the company.
    |
  • The academic staff at Leeds University Business School are great. They are very knowledgeable as the awards and accreditations show. In addition to this, the Business School offers many opportunities to develop yourself - volunteering, awards and extra-curricular schemes.
    |
100%
4.5
excellent

Course rating

Recommended

Centre rating

Sera Ulusoy

4.5
11/02/2017
What I would highlight: I enjoyed interacting with my professors without hesitation. They make you feel comfortable and respect your opinions. The quality of the modules is high too.
What could be improved: .
Would you recommend this course?: Yes

Christine Ma

4.5
10/02/2017
What I would highlight: I like to work with real businesses. For my current project my group is analysing real data from Callcredit UK and selecting relevant marketing strategies and consumer behaviours to drive insights for the company.
What could be improved: .
Would you recommend this course?: Yes

Nabeel Alhassan

4.5
09/02/2017
What I would highlight: The academic staff at Leeds University Business School are great. They are very knowledgeable as the awards and accreditations show. In addition to this, the Business School offers many opportunities to develop yourself - volunteering, awards and extra-curricular schemes.
What could be improved: .
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Retail
  • Teaching
  • Marketing
  • Marketing Strategy
  • Consumer Behaviour
  • University
  • School
  • Project
  • Business School
  • GIS
  • Marketing Mix
  • Visualisation
  • Business Analytics
  • Geographic Data

Course programme

Core modules will introduce you to a range of analytical methods, ensuring you develop a solid foundation in the essential skills for consumer analytics and marketing strategy.

You’ll learn how to analyse geographic data using GIS software and understand the application of this in retail modelling, to evaluate new markets and locations. You’ll study predictive analytics, big data and consumer analytics, business analytics and decision science, and learn how to communicate results through data visualisations.

Alongside this, you’ll learn how to deploy data to inform decisions about marketing strategy. Marketing modules include marketing strategy, consumer behaviour and direct, digital and interactive marketing. You’ll also deliver your own data-driven marketing research project for a company.

Optional modules allow you to further your knowledge in a related area of interest, either corporate social responsibility, internal communications and managing change, or applied population and demographic analysis.

By the end of the course, you’ll submit an independent project. You can either research a topic in-depth and submit a dissertation, or gain practical experience through a consultancy project working with an external organisation.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

You’ll take nine compulsory modules and a dissertation, which can be a choice of either a research dissertation or a marketing consultancy project. You'll take one further optional module.

Compulsory modules
  • Geographic Data Visualisation & Analysis 15 credits
  • Big Data and Consumer Analytics 15 credits
  • Predictive Analytics 15 credits
  • Applied GIS and Retail Modelling 15 credits
  • Business Analytics and Decision Science 15 credits
  • Consumer Behaviour 15 credits
  • Marketing Research Consultancy Project 15 credits
  • Digital and Interactive Marketing 15 credits
  • Marketing Strategy 15 credits
  • Dissertation OR Marketing Consultancy Project 30 credits
Optional modules
  • Geodemographics and Neighbourhood Analysis 15 credits
  • Corporate Social Responsibility and Sustainability 15 credits
  • Change Management and Communication 15 credits

For more information on typical modules, read Consumer Analytics and Marketing Strategy MSc in the course catalogue

Learning and teaching

We use a range of teaching methods so you can benefit from the expertise of our academics, including lectures, workshops, seminars, simulations and tutorials. Company case studies provide an opportunity to put your learning into practice.

Independent study is also vital for this course, allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Consumer Analytics and Marketing Strategy

Price on request