Executive Master in Advanced Digital Transformation and Technology Management

Course Dates :

17/03/25

45

Course ID:

250317001004587LUEMT

Course Duration :

45 Studying Day/s

Course Location:

Course Category:

Executive Masters

Subcategories: Construction Safety, Health and Wellbeing, Environmental Sustainability, Risk Management, Technical Skills Development, Leadership and Communication, Quality Assurance

Course Certified By:

* LondonUni - Executive Management Training

* Executive Masters Certificate

Certification Will Be Issued From : From London, United Kingdom

Course Information

Introduction

The Executive Master in Advanced Digital Transformation and Technology Management is an advanced program designed for professionals aiming to lead and manage technology-driven transformations in organizations. As businesses face the increasing integration of digital technologies, this program equips participants with the knowledge, strategies, and skills required to navigate and harness digital advancements for sustainable growth. It addresses the critical need for leaders who can align IT strategies with organizational goals, foster innovation, and manage complex digital ecosystems effectively.

Participants will delve into topics such as IT strategy, blockchain integration, data-driven decision-making, and cloud computing, all of which are integral to building and managing a successful digital enterprise. Each module has been carefully crafted to provide both theoretical insights and practical applications, enabling learners to implement cutting-edge technologies and innovative solutions in their organizations.

The program combines academic rigor with real-world relevance, emphasizing practical learning through case studies, collaborative projects, and hands-on simulations. Furthermore, the final thesis component encourages participants to synthesize their learning and apply it to a unique project, addressing a real-world digital transformation challenge in their organization or industry.

This 40-day intensive course is supplemented by an additional 5-day period dedicated to preparing a thesis of 25,000–30,000 words, showcasing participants’ mastery of the subject matter. The program empowers leaders to anticipate technological disruptions, drive innovation, and foster organizational resilience in a rapidly evolving digital landscape.

Course Structure

The Executive Master in Advanced Digital Transformation and Technology Management consists of eight core modules, each designed to address a critical area of digital transformation and technology management. The structure includes:

IT Strategy and Digital Leadership – Understanding the role of IT in organizational success and mastering leadership skills for the digital age.
Managing Digital Teams and Remote Work – Strategies for leading distributed teams and optimizing remote work environments.
Blockchain for Business and Digital Transformation – Exploring blockchain technology’s impact on business processes and opportunities for digital innovation.
Cybersecurity for Digital Transformation – Addressing the challenges of securing digital assets and ensuring organizational cyber resilience.
Digital Innovation and Disruption – Identifying and leveraging disruptive technologies to drive business innovation.
Cloud Computing and Business Applications – Understanding cloud technologies and their role in modern business environments.
Data-Driven Decision Making – Utilizing data analytics to inform strategy and improve organizational decision-making.
Building and Managing Digital Platforms – Designing, developing, and maintaining scalable and efficient digital platforms.

Participants will engage in lectures, case studies, group discussions, and individual projects, ensuring a balanced and comprehensive learning experience.

Conclusion

This executive master’s program stands as a transformative opportunity for professionals eager to lead their organizations into the future of technology management. By mastering the core aspects of digital transformation, participants will not only enhance their individual skill sets but also position their organizations for success in an increasingly digital world.

The program culminates in a thesis project, which serves as a testament to the participant’s expertise and ability to apply theoretical knowledge to practical challenges. Graduates of this program will emerge as confident, capable leaders ready to take on the challenges and opportunities of the digital age.

By the end of this program, participants will possess the expertise required to lead, manage, and

Objectives

The objectives are:

To develop strategic leadership skills for managing IT and digital initiatives.
To provide in-depth knowledge of emerging technologies such as blockchain, cloud computing, and advanced data analytics.
To enable participants to identify and address cybersecurity challenges effectively.
To foster innovation and adaptability in navigating technological disruptions.
To equip professionals with the ability to manage remote teams and digital platforms.
To guide participants in aligning IT strategy with organizational goals for sustainable success.

Who Should Attend?

This course aims at:

Senior executives and managers responsible for digital transformation initiatives.
IT and technology professionals seeking to advance their leadership and strategic skills.
Entrepreneurs and business owners looking to integrate digital solutions into their operations.
Consultants and advisors specializing in technology management and innovation.
Professionals from various industries keen on leveraging digital tools for organizational growth.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

Each course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Part 2 / 9

Managing Digital Teams and Remote Work

Day 1: Foundations of Digital and Remote Team Management

Understanding the evolution of digital teams and remote work.
Key challenges and opportunities of managing remote teams.
Assessing team readiness for remote work.
Introduction to tools for remote collaboration and communication.

Day 2: Communication and Collaboration in a Digital Environment

Strategies for effective virtual communication.
Overcoming communication barriers in remote teams.
Promoting collaboration and innovation in digital teams.
Using digital platforms for efficient project management.

Day 3: Building Trust and Engagement in Remote Teams

Establishing trust in a virtual environment.
Enhancing employee engagement and morale in remote settings.
Virtual team-building activities and practices.
Cultural sensitivity and inclusion in geographically diverse teams.

Day 4: Performance Management and Accountability

Setting clear expectations and goals for remote teams.
Monitoring performance and providing feedback virtually.
Addressing challenges of underperformance in digital teams.
Implementing recognition and reward systems in remote work settings.

Day 5: Leadership and Future Trends in Digital Team Management

Developing leadership skills for managing remote teams.
Navigating crises and ensuring resilience in digital teams.
Future trends and innovations in remote work.
Creating a sustainable remote work strategy for your organization.

Part 3 / 9

Blockchain for Business and Digital Transformation

Day 1:
Foundations of Blockchain Technology

Understanding Distributed Ledger Technology (DLT) and its evolution.
Key components: nodes, consensus mechanisms, and cryptographic principles.
Public vs. private blockchains: advantages and limitations.
Historical overview and landmark developments in blockchain.


Day 2:
Blockchain Platforms and Architectures

Comparative analysis of leading platforms: Ethereum, Hyperledger, and Corda.
Exploring permissioned and permissionless networks.
Building blocks of blockchain architecture: layers, protocols, and APIs.
Hands-on workshop: setting up a basic blockchain environment.


Day 3:
Smart Contracts and Decentralized Applications (dApps)

Introduction to smart contracts: functionality and benefits.
Solidity programming language for Ethereum-based contracts.
Developing and deploying dApps using blockchain frameworks.
Case study: decentralized finance (DeFi) applications.


Day 4:
Blockchain in Industry Verticals

Enhancing supply chain transparency with blockchain.
Blockchain for identity management and cybersecurity.
Tokenization of assets: real estate, art, and intellectual property.
Group activity: designing a blockchain solution for a chosen industry.


Day 5:
Governance, Compliance, and Future Trends

Regulatory considerations and global standards for blockchain adoption.
Ethical implications of decentralized systems.
Emerging trends: Web3, NFTs, and metaverse integration.
Capstone project presentation and feedback session.

Part 4 / 9

Cybersecurity for Digital Transformation

Day 1: Fundamentals of Cybersecurity in the Digital Age

Overview of cybersecurity: Principles and practices.
The role of cybersecurity in digital transformation.
Identifying common cyber threats and vulnerabilities.
Understanding data protection regulations and compliance requirements.

Day 2: Risk Management and Threat Mitigation

Cyber risk assessment methodologies.
Identifying and mitigating risks in digital ecosystems.
Building a culture of cybersecurity awareness within organizations.
Case studies: Lessons learned from cyber incidents.

Day 3: Cybersecurity Frameworks and Tools

Exploring industry-standard cybersecurity frameworks (e.g., NIST, ISO 27001).
Leveraging advanced tools for threat detection and response.
Implementing secure digital transformation strategies.
Hands-on exercise: Designing a cybersecurity policy.

Day 4: Advanced Cybersecurity Strategies

Cyber resilience planning for digital transformation.
Leveraging AI and machine learning in cybersecurity.
Managing third-party and supply chain cybersecurity risks.
Cyber incident response planning and recovery strategies.

Day 5: Emerging Trends and Future Directions in Cybersecurity

Exploring the impact of IoT, cloud, and blockchain on cybersecurity.
Cybersecurity implications of artificial intelligence and automation.
Ethical considerations and governance in cybersecurity.
Final workshop: Developing a cybersecurity roadmap for digital transformation.

Part 5 / 9

Digital Innovation and Disruption

Day 1:
Foundations of Digital Innovation

Understanding digital disruption and its historical evolution.
Key drivers of digital transformation: Technology, consumer behavior, and market forces.
Overview of disruptive innovation theory and its implications for businesses.
Identifying barriers to digital adoption and strategies to overcome them.


Day 2:
Emerging Technologies and Their Applications

Introduction to artificial intelligence and machine learning in business contexts.
Exploring the role of blockchain in enhancing transparency and security.
Leveraging IoT for operational efficiency and smart product development.
Case study: How Amazon uses robotics and AI to revolutionize supply chain management.


Day 3:
Strategy Development and Execution

Aligning digital initiatives with organizational goals and KPIs.
Conducting a digital readiness assessment for your organization.
Designing a roadmap for phased implementation of digital projects.
Workshop: Developing a pitch for a digital innovation project.


Day 4:
Change Management and Organizational Culture

Building a culture of innovation: Leadership roles and responsibilities.
Techniques for overcoming resistance to change among stakeholders.
Measuring employee engagement during digital transitions.
Best practices for communicating vision and progress effectively.


Day 5:
Compliance, Risk, and Future Trends

Navigating legal and ethical considerations in digital innovation.
Mitigating cybersecurity risks in digitally transformed environments.
Predicting future trends: Quantum computing, augmented reality, and beyond.
Final group presentations and feedback session.

Part 6 / 9

Cloud Computing and Business Applications

Day 1:
Foundations of Cloud Computing

Overview of cloud computing models (IaaS, PaaS, SaaS).
Understanding deployment models (public, private, hybrid).
Key benefits and challenges of cloud adoption.
Introduction to major cloud providers (AWS, GCP, Azure).


Day 2:
Security and Compliance in the Cloud

Shared responsibility model in cloud security.
Best practices for data encryption and access control.
Compliance frameworks (GDPR, HIPAA, SOC 2).
Case study: Lessons from notable cloud security breaches.


Day 3:
Architecting Cloud Solutions

Designing scalable and resilient cloud architectures.
Load balancing and auto-scaling techniques.
Storage options and database management in the cloud.
Hands-on lab: Deploying a virtual machine.


Day 4:
DevOps and Automation in the Cloud

Introduction to CI/CD pipelines and continuous integration.
Tools for automation (Terraform, Ansible, Jenkins).
Monitoring and logging in cloud environments.
Practical exercise: Automating infrastructure deployment.


Day 5:
Emerging Trends and Strategic Applications

The role of AI, ML, and IoT in cloud computing.
Multi-cloud and hybrid cloud strategies.
Future-proofing your cloud strategy.
Group activity: Developing a cloud migration roadmap.

Part 7 / 9

Data-Driven Decision Making

Day 1:
Introduction to Data-Driven Decision Making

Overview of data-driven decision making and its importance in business.
Understanding key data concepts and terminologies.
Types of data and how they influence business decisions.
Introduction to data collection methods and data cleaning processes.

Day 2:
Data Analysis Techniques

Exploring descriptive analytics and its role in decision making.
Introduction to predictive modeling and forecasting techniques.
Using data visualization tools to communicate insights effectively.
Hands-on exercises on analyzing and interpreting sample data sets.

Day 3:
Advanced Analytical Methods

Introduction to machine learning and its applications in data-driven decision making.
Evaluating and selecting the right analytical techniques for different business problems.
Integrating external data sources into analysis for richer insights.
Case study analysis on applying advanced analytics in real-world scenarios.

Day 4:
Ethical and Strategic Considerations in Data Use

Understanding data privacy, security, and ethical implications.
Identifying and mitigating bias in data collection and analysis.
Exploring the limitations of data and the risks of overreliance on data-driven decisions.
Best practices for developing ethical data governance policies in organizations.

Day 5:
Implementing Data-Driven Decision Making in Your Organization

Creating a roadmap for adopting data-driven decision making in your team or organization.
Building a data-driven culture: training, tools, and strategies for success.
Communicating data insights to stakeholders and fostering alignment.
Final case study presentation: applying data-driven decision-making strategies to solve a business challenge.

Part 8 / 9

Building and Managing Digital Platforms

Day 1:
Introduction to Digital Platforms and Their Strategic Role

Overview of digital platforms and their components (Technology, Users, Data, Services).
The role of digital platforms in the digital economy and business ecosystems.
Types of digital platforms: B2B, B2C, C2C, and hybrid models.
Introduction to platform business models and their impact on value creation.

Day 2:
Designing Scalable and User-Centric Digital Platforms

Principles of user-centric design and its importance in platform success.
The architecture of scalable platforms: handling growth and increased traffic.
Key design considerations for platform development: APIs, integrations, and data management.
Creating seamless user experiences across platforms and devices.

Day 3:
Platform Governance, Security, and Compliance

Governance models for digital platforms: roles and responsibilities.
Privacy and security challenges in platform management.
Legal and regulatory considerations when managing a platform.
Ensuring compliance with data protection laws (e.g., GDPR, CCPA).

Day 4:
Monetization and Growth Strategies for Digital Platforms

Platform monetization strategies: subscription models, freemium, advertising, and more.
Developing strategies for user acquisition and retention.
Measuring success: KPIs and metrics for platform performance.
Scaling the platform: handling increased users, transactions, and partnerships.

Day 5:
Real-World Case Studies and Hands-On Practice

In-depth analysis of successful digital platforms (e.g., Airbnb, Uber, Amazon Web Services).
Group discussion: Lessons learned from failed digital platforms.
Hands-on project: Designing a basic digital platform prototype.
Future trends in digital platforms: Artificial Intelligence, Blockchain, and the Internet of Things (IoT).

Executive Masters
Thesis

Final Paper: 25000 - 30000 Words