Modules

Core Module Information
Module title: Research and Data Analysis
SCQF level: 08:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SOE08107
Module leader: Christina Kelly
School The Business School
Subject area group: Management
Prerequisites

There are no pre-requisites for this module to be added
Description of module content:

This module introduces you to the nature of research and data in business management. It aims to help you develop a portfolio of research and data analysis skills. These skills will enable you to confidently understand and critically analyse various datasets and prepare you for the practicalities of the modern business world. The indicative content for the module includes: Nature of research - what is it and why do we do it?Quantitative and qualitative data collection Primary and secondary data and researchAnalysing and visualising dataInterpreting data, framing arguments, and making recommendationsWriting an empirically-backed report
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Develop a research study using a standardised research process

LO2: Apply appropriate data collection methods to your study

LO3: Recognise which data are most appropriate for primary and secondary research

LO4: Advance personal skills using software to analyse and visualise data

LO5: Analyse different forms of data to produce research results

LO6: Interpret, summarise, visualise, and discuss research results
Full Details of Teaching and Assessment
2025/6, Trimester 1, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Christina Kelly
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face GROUPIND_STUDY 100 You will work in groups to design a quantitative survey, analyse survey data provided and develop insights through quantitative analysis.
Online Guided independent study 64 You will work independently, with the option to seek support from the cohort, to source secondary data, analyse and create data insights and visualisations from the data.
Face To Face Lecture 12 Lectures will be delivered in-person, on campus, once a week.
Face To Face Practical classes and workshops 24 Workshops will be weekly, and include both Tutorial and Lab together. They will be lecturer-facilitated and will allow you to explore and apply theory, methods, and techniques introduced in lectures. The first half of Tr1 will be (small) group work the second half with be individual work. To get full benefit from workshops and support other students, you are expected to come prepared having engaged with the lecture material and associated essential reading.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 60 1~4~5~6 Week 9 , WORDS= 2000 You will work in groups to write a quantitative analysis report. As a group, you will analyse provided quantitative data and present outcomes in the report.
Report 40 1~3~5~6 Week 13 , WORDS= 1000 You will develop a qualitative report that evidences appropriate qualitative analysis.
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
SOE08107 Research and Data Analysis
 

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