Modules

Core Module Information
Module title: Data Analysis for Business Decision-making
SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SOE11446
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:

Data literacy and the ability to critically evaluate information are crucial skills for business management. Data analysis is a process that involves the formulation of a research question and the acquisition and analysis of the data that is needed to help answer that question. In this module, you will be taken through the practicalities of developing a business research question and acquiring and analysing data to answer that question. You will learn about the practical steps to create useful business information from data and how to visualise this information in an understandable way. You will be equipped with the tools, methods, and skills required for acquiring, exploring, and analysing both quantitative and qualitative data.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Critique quantitative and qualitative methods for answering business management questions.

LO2: Critically analyse, evaluate, and interpret quantitative data.

LO3: Critically analyse, evaluate, and interpret qualitative data.

LO4: Critically discuss findings from data analysis in a clear, logical, and systematic manner.
Full Details of Teaching and Assessment
2025/6, Trimester 1, Online (fully o,
VIEW FULL DETAILS
Occurrence: 002
Primary mode of delivery: Online (fully o
Location of delivery: ONLINE
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
Independent Learning Practical classes and workshops 10 You will have a weekly scheduled live academic session online. These sessions cover the course content and provide opportunities for you to ask questions about the module and the assessments.
Independent Learning Guided independent study 190 Your independent learning will involve reading around the subject area, practising using software for statistical analysis and learning about and undertaking qualitative analysis.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 100 1~2~3~4 Week 13 , WORDS= 3000 Report that covers both the qualitative and quantitative aspects from the module.
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100
2025/6, Trimester 2, Online (fully o,
VIEW FULL DETAILS
Occurrence: 002
Primary mode of delivery: Online (fully o
Location of delivery: ONLINE
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
Independent Learning Practical classes and workshops 10 You will have a weekly scheduled live academic session online. These sessions cover the course content and provide opportunities for you to ask questions about the module and the assessments.
Independent Learning Guided independent study 190 Your independent learning will involve reading around the subject area, practising using software for statistical analysis and learning about and undertaking qualitative analysis.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 100 1~2~3~4 Week 13 , WORDS= 3000 Report that covers both the qualitative and quantitative aspects from the module.
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
Resources List SOE11446
 

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