Modules

Core Module Information
Module title: Digital Business and Innovation
SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SOE10401
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 for innovation. 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, and 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
2026/7, Trimester 1, ONLINE,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: ONLINE
Location of delivery: ONLINE
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
Independent Learning Practical classes and workshops 12 During the online live academic sessions, case study material is analysed every week in which you identify potential problems faced by companies and also devise strategies to solve those problems.
Online Guided independent study 188 For your independent learning, you will read course materials and explore topics related to the subject area at your own pace. A range of online resources (e.g., articles, textbooks, videos, case studies, etc.) will be available to help you gain a deep understanding of the module content.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 90 1~2~3~4 Week 13 , WORDS= 3000 words You will be required to analyse a business's innovation practices and models.
Class Test 10 1~2~3~4 Week 13 HOURS= 10xquizzes You will complete 10 end of unit tests.
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
Contact your module leader
 

Related information