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Module

ACE3078 : Data & Marketing Analytics

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Francisco Areal
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

This module builds upon introductory economics and statistics modules to provide students with statistical tools that can be used in economics and marketing analysis. The aim of the module is to offer students the opportunity to 1) gain an understanding on what statistical techniques can be used to understand and solve marketing problems and 2) learn how to use state of the art key statistical techniques in data and marketing analysis.

Outline Of Syllabus

The module covers a wide range of analytical methods used in marketing research (e.g. regression analysis, structural equation models, choice modelling, consumer segmentation)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture42:008:00Present in Person lecture - to revert to So where PiP is not permtted
Guided Independent StudyAssessment preparation and completion140:0040:00Preparation for assessment
Structured Guided LearningLecture materials42:008:00Asynchronous lecture material
Guided Independent StudyIndependent study144:0044:00Revise lecture notes and lecture videos, including reading and watching of supplementary material
Total100:00
Teaching Rationale And Relationship

Core and supplementary material for this module (e.g. lecture slides, datasets, R files and videos) offer students the required resources to 1) gain an understanding on what statistical techniques can be used to understand and solve marketing problems and 2) learn how to use state of the art key statistical techniques in data and marketing analysis.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report1M100Report
Assessment Rationale And Relationship

Module assessment consists of one single assignment. A written report will assess your understanding of the statistical techniques covered in the module, both in their use and interpretation of the results.

Reading Lists

Timetable