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Digital Transformation and Innovation

Overview
Programme Outline
Course Fees and Funding
Instructor
Policies and Financing Options

Programme Outline

Learning Objectives

By the end of this course, participants should be able to / can expect to:

  1. Understand the impact of digital transformation, industrial revolution 4.0 and its contributing technologies, with ability to discuss implications of an exciting digital future.
  2. Understand platform design for business innovation in new digital economy.
  3. Perform gap assessment and strategy formulation to create new business innovation models and strategy for digital transformation.
Day 1
  • Fourth Industrial Revolution – its impact to business and government
  • Digital Future – Exponential growth of computing
  • Strategic technology trends
  • Artificial intelligence – its impact to digital transformation
  • Blockchain – borderless finance and other applications
  • Data, privacy and security
  • Digital transformation and future predictions
Day 2
  • Digitisation, Digitalisation and Digital Transformation
  • New business models and platforms for innovation and digital transformation
  • Digital business model framework
  • Stages of digital maturity
  • Digital maturity assessment
  • Vertical and Horizontal integration
  • Integrated digital eco-system provider
Day 3
  • Industry 4.0 framework and design
  • Data at the core and cloud adoption
  • Innovation ambition matrix for strategy formulation
  • Process optimisation vs business model transformation
  • Digital business innovation and strategy design
  • Project costing and prioritisation
  • Digital transformation and innovation blueprint
Day 4
  • Digital blueprint implementation
  • Digital leadership and success factors of digital transformation
  • HR, talent management, outsourcing and in-demand skills
  • Group project introduction and team forming
  • Lesson review and project structure
  • Group project design
  • Team discussion
Day 5
  • Project Presentation by Teams
  • Assessment

 

Assessment
  • Short quizzes at the end of each class
  • Class assignment from curating of data and to final presentation

 

Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.
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