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2023/24 Taught Postgraduate Module Catalogue

GEOG5967M Dissertation - Consumer Analytics

45 creditsClass Size: 100

Module manager: Dr Roger Beecham
Email: R.J.Beecham@leeds.ac.uk

Taught: 1 Feb to 31 Aug View Timetable

Year running 2023/24

This module is mutually exclusive with

LUBS5401MMarketing Dissertation/Project

This module is not approved as an Elective

Module summary

This module provides students with the opportunity to undertake a major piece of supported independent research. It is an opportunity to apply skills and techniques learned during the taught component of this programme to a substantive original research or industry focussed problem of interest to the student. The topic chosen must primarily relate to the spatial/geographical component of this programme (i.e. draw primarily on themes, techniques and applications drawn from modules with a GEOG code). Students wishing to undertake a dissertation or project related to the Marketing component of this programme should take the equivalent LUBS module. Dissertations undertaken via this module will be supervised by academic staff from the Centre for Spatial Analysis and Policy (CSAP). Individual projects and research questions are chosen and formulated by students, and supported during the research process by one-to-one or small group meetings with a nominated member of academic staff, and student-led group meetings to seek peer support. The dissertation may address a methodological or practical issue using desk based research and secondary data sources. It may also be carried out in conjunction with an external organisation (such as local government, a charitable organisation or a commercial organisation) in order to address a relevant research or practical issue of interest to them, and making use of their data or other input. Regardless of the nature of the project itself, all dissertations must have a clearly defined aim and set of specific objectives that are novel or original and which relate to this programme of study. All dissertations should be written up as an academic piece of work, using the guidance provided during the module.

Objectives

This module seeks to:
-Enable students to develop and undertake a substantive piece of independent research related to Consumer Analytics, addressing original practical issues identified by the commercial or policy sector where appropriate.

-Allow students to demonstrate that they can work independently on a series of research questions over a sustained time period, making effective use of support available and problem solving independently where required.

-Give students a supported opportunity to apply skills, methodologies and techniques introduced within this programme in order to address a research question of interest to them.

-Give students the opportunity to personalise their learning experience by researching a topic of interest to them, and of relevance to their future career and professional development objectives.

Learning outcomes
On completion of this module students will:
1.be able to design, executing and presenting a sustained piece of novel or original research related to Consumer Analytics.

2.Be able to work independently on a substantive research question, using initiative and reasoned thinking to problem solve.

3.Select, apply and critically evaluate appropriate spatial and statistical analysis techniques and/or theories in order to address their research questions.

Be able to communicate research findings in an academic style, situating their findings within the broader academic literature and wider developments in the field or industry sector.


Syllabus

This module is primarily made up of private study, with scheduled or ad-hoc individual/small group meetings with students┬┐ dissertation supervisor or other module staff as appropriate.
The learning and execution of the dissertation is student driven and students are expected to work on their dissertation full time over the summer months. The methods and techniques appropriate to execute independent research have been introduced throughout the taught component of this programme, particularly in GEOG5042M Geographic Data Visualisation and Analysis
In addition to the support of their supervisor, students also benefit from dissertation briefing sessions which include:
- Choosing an original research topic
- Identifying appropriate literature
- Project managing a dissertation
- Writing-up a dissertation

Teaching methods

Delivery typeNumberLength hoursStudent hours
Supervision Meetings51.005.00
Lecture41.004.00
Private study hours441.00
Total Contact hours9.00
Total hours (100hr per 10 credits)450.00

Private study

This module is primarily composed of private study as students work independently on their dissertations. Students are expected to
work on this full time during the summer period and projects are student driven.
Private study encompasses all aspects of the dissertation process, including topic choice, data acquisition, literature searches, data
analysis and final write-up of the submitted dissertation.

Opportunities for Formative Feedback

Progress will be primarily monitored via individual supervision, comprising student-led scheduled or ad-hoc contact with their supervisor, to discuss their research and to identify any problems they are facing. Students will receive verbal/email advice/suggestions/comments as a result of these interactions, and supervisors will be able to identify students who may need further support to meet the LOs of this module.
Additionally student progress is monitored via their research proposal, enabling students to be matched to an appropriate supervisor and screening to ensure that chosen topics and approaches are feasible and in line with the module objectives.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Essay or Dissertation12,000 words100.00
Total percentage (Assessment Coursework)100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 28/04/2023 14:56:07

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