Modules

Core Module Information
Module title: Digital Business and Innovation
SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SOE10109
Module leader: Sujoy Bhattacharya
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 provides you a deep exploration of how businesses and other organisations obtain value from data. First, it critically examines the nature of data as a business asset and how, therefore, data drives various digital business models, business-function integration, corporate and business strategy, and innovation. It then examines how businesses can better harness the value of (especially big) data through business analytics, machine learning, artificial intelligence, and digital oriented sustainability. Critically, the module also discusses the challenges of managing and using data, including security, implementation, cultural, and ethical issues.The module aims to engage and enthuse you about the necessity and value of effective use of data in modern businesses. The module equips you with the knowledge and skills that will help you to:• conceptualise a digital business model.• understand how to use data as a source of business innovation, including sustainability-oriented innovation.• appreciate the critical role of data in corporate and business strategy and integration of business functions.• recognise analytics as a core function of business.• classify and differentiate the diverse ways businesses can create value through machine learning and AI.• develop solutions to resolve the security, ethical, cultural and implementation challenges of data use in business.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Examine and analyse the concepts underpinning the exploitation of data as a core asset by businesses and other organisations.

LO2: Evaluate how data drives diverse digital business models, business-function integration, corporate and business strategy, and innovation.

LO3: Critically assess how businesses and other organisations can gain competitive advantage through harnessing the value of (especially big) data through business analytics, machine learning, artificial intelligence, and digital oriented sustainability.

LO4: Critically discuss the firm-level challenges of managing and using data, including security, implementation, cultural, and ethical issues.
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: Sujoy Bhattacharya
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Online Guided independent study 176 In the Guided independent study you will have access to Textbooks and Journal articles to add on to your learning
Face To Face Lecture 10 Ten one hour lectures covering the underlying theories behind the module.
Face To Face Tutorial 6 In the tutorials you will apply the theory learned during the lectures using various contexts. You will do case studies which cover varied businesses and apply the theory learnt to business problem solving.
Face To Face Seminar 6 In the seminars you will discuss the assessments and get support for them. Seminars are also doubt handling sessions for your assessments and also for any doubts about the module in general.
Face To Face Practical classes and workshops 2 In the Practical classes and workshops you will do an application of the learnings done in theory classes to a comprehensive case study
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 30 1~2 Week 8 , WORDS= 1500 words You will analyse the digital business model and data driven innovation, strategy and integration for a Digital Business Brand.
Report 70 1~2~3~4 Exam Period , WORDS= 2000 words You will analyse how the organisation creates value through the use of digital technologies, machine learning and AI.
Component 1 subtotal: 30
Component 2 subtotal: 70
Module subtotal: 100
2025/6, Trimester 1, In Person,
VIEW FULL DETAILS
Occurrence: 002
Primary mode of delivery: In Person
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Sujoy Bhattacharya
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 10 Ten one hour lectures covering the underlying theories behind the module.
Face To Face Tutorial 6 In the tutorials you will apply the theory learned during the lectures using various contexts. You will do case studies which cover varied businesses and apply the theory learnt to business problem solving.
Face To Face Seminar 6 In the seminars you will discuss the assessments and get support for them. Seminars are also doubt handling sessions for your assessments and also for any doubts about the module in general.
Face To Face Practical classes and workshops 2 In the Practical classes and workshops you will do an application of the learnings done in theory classes to a comprehensive case study
Online Guided independent study 176 In the Guided independent study you will have access to Textbooks and Journal articles to add on to your learning
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 30 1~2 Week 8 , WORDS= 1500 words You will analyse the digital business model and data driven innovation, strategy and integration for a Digital Business Brand.
Report 70 1~2~3~4 Exam Period , WORDS= 2000 words You will analyse how the organisation creates value through the use of digital technologies, machine learning and AI.
Component 1 subtotal: 30
Component 2 subtotal: 70
Module subtotal: 100

Indicative References and Reading List - URL:
SOE10109 - Digital Business and Innovation
 

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