Digital Transformation (ZZ-1103)

Bachelor of Digital Science, School of Digital Science, Universiti Brunei Darussalam., 2023

Students will learn to use digital technologies to create new or modify existing businesses.



  1. Introduction
  2. Phases of Digital Transformation
  3. Strategy
  4. IR4
  5. Disruption
  6. Technology Disruption
  7. Surviving Disruption
  8. Online Business Models
  9. AI Introduction
  10. AI Products
  11. Blockchain
  12. Big Data
  13. Cloud Computing
  14. Edge Computing
  15. Internet of Things
  16. Mobile Computing
  17. Reality Technologies

Case Studies by Harvard Business Review Press

  1. Discovery-Driven Digital Transformation by Rita McGrath and Ryan McManus
  2. The Transformative Business Model by Stelios Kavadias, Kostas Ladas, and Christoph Loch
  3. Digital Doesn’t Have to Be Disruptive by Nathan Furr and Andrew Shipilov

Prompts for ChatGPT

  1. Guidelines
  2. Iterative
  3. Summarizing
  4. Inferring
  5. Transforming

Project Suggestions

  • Cloud Computing in Digital Transformation
  • Big Data Analytics for Business Transformation
  • Internet of Things (IoT) in Industry 4.0
  • Artificial Intelligence (AI) and Chatbots in Customer Experience Transformation
  • Cybersecurity and Digital Transformation
  • Digital Twin Technology for Digital Transformation
  • Social Media Analytics for Business
  • Remote Work Infrastructure Optimization
  • Data Governance and Digital Transformation
  • Blockchain for Supply Chain Transformation
  • Smart Cities and Public Services
  • Telemedicine and Healthcare Transformation
  • Digital Transformation in Agriculture (AgriTech)
  • Cybersecurity in Digital Transformation
  • Personalized Education through Machine Learning
  • Voice Assistants in E-commerce
  • Sustainable Digital Transformation
  • Blockchain for Digital Identity
  • Digital Watermarking for Content Protection
  • Machine Learning in Predictive Maintenance
  • Data Lakes and Big Data Analytics
  • Edge Computing in IoT
  • Natural Language Query for Databases
  • Data-driven Marketing Strategies
  • Biometric Authentication in Banking
  • Low-code Development Platforms
  • Ethical Considerations in AI-Driven Decision Making
  • Smart Grids and Energy Efficiency
  • Retail Analytics and Consumer Behavior
  • Nanotechnology in Digital Health

Guidelines for Projects / Presentations

  • Please see the examples below to structure the project and presentation.
  • Topic: Cloud Computing in Digital Transformation
    • Technology Aspect: Explore cloud computing technologies (e.g., AWS, Azure, Google Cloud) and their role in enabling digital transformation.
    • Business Problem: Analyze the challenges and opportunities businesses face when migrating to the cloud.
    • CEO Perspective: Discuss the strategic considerations and cost-efficiency benefits of adopting cloud solutions for digital transformation.
  • Topic: Big Data Analytics for Business Transformation
    • Technology Aspect: Investigate big data analytics tools and techniques (e.g., Hadoop, Tableau) and how they support data-driven decision-making.
    • Business Problem: Examine data integration and privacy challenges that organizations encounter during digital transformation.
    • CEO Perspective: Emphasize the potential for improved customer insights and competitive advantage through effective big data strategies.
  • Topic: Internet of Things (IoT) in Industry 4.0
    • Technology Aspect: Explore IoT sensors, devices, and protocols and their role in Industry 4.0.
    • Business Problem: Assess security and scalability issues when deploying IoT solutions in manufacturing and other industries.
    • CEO Perspective: Highlight the transformative impact of IoT on supply chain efficiency and real-time decision-making.
  • Topic: Artificial Intelligence (AI) and Chatbots in Customer Experience Transformation
    • Technology Aspect: Investigate AI technologies, including natural language processing, and their application in creating chatbots and virtual assistants.
    • Business Problem: Examine the challenges of designing chatbots that provide seamless customer support and improve user experiences.
    • CEO Perspective: Discuss the potential for increased customer satisfaction and cost savings through AI-driven customer service.
  • Topic: Cybersecurity and Digital Transformation
    • Technology Aspect: Explore cybersecurity technologies and strategies (e.g., encryption, threat detection) for protecting digital assets.
    • Business Problem: Analyze the evolving cybersecurity threats and risks that organizations face during digital transformation initiatives.
    • CEO Perspective: Stress the importance of robust cybersecurity measures in safeguarding customer trust and maintaining business continuity.


  • Examination: 30%
  • Coursework: 70%
    • Two Class Tests (30%)
    • Two Class Quizzes (10%)
    • One Oral Presentation (15%)
    • One Project (15%)

Academic Calendar

July 24 - July 30Fresher’s Week
July 31 - Sep 17Classes
Sep 18 - Sep 24Mid Semester Break
Sep 25 - Nov 12Classes
Nov 13 - Nov 19Revision Week
Nov 20 - Dec 3Examination


  • CLT 1.11: Wednesday 7:50 AM - 9:40 AM
  • CLT 1.17: Friday 7:50 AM - 9:40 AM