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Data-driven Insights into Sustainable Consumer Behaviour (BENV0174)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Environment, Energy and Resources
Credit value
15
Restrictions
This module is compulsory for students taking MSc Business and Sustainability only.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The module offers a practical, method-oriented approach to studying sustainable consumer behaviour, diverging from traditional theoretical learning. This module develops skills in data analysis, predictive modelling, and consumer segmentation, utilising computational techniques to interpret sustainable consumer choices. ÌýYou will learn descriptive and exploratory data analysis, with a focus on spatial and statistical visualisation to comprehend consumer behaviour patterns.Ìý

No prior experience in quantitative analysis or coding is required. Python programming and SPSS Amos are taught for data handling and modelling. By the end of the module you will proficiently use statistical and spatial data, understand key drivers of sustainable consumer behaviour, analyse customer preferences for green products, and leverage social media data for consumer feedback. These skills aim to enhance data-driven decision-making and promote sustainable consumer practices, aligning with broader sustainability goals.

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Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
27
Module leader
Miss Yuerong Zhang
Who to contact for more information
bseer-studentqueries@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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