Technology Leadership and Innovation Programme

Module 5: Role of Data and Analytics

• From Descriptive to Prescriptive Analytics and More

• Data Wrangling

• The Analytics Process Methodology

• Lab: Preparation for Predictive Analytics Modelling

• Lab: Model Evaluation for Predictive Analytics Modelling

Module 6: ML-Deep Learning and Neural Network

• Introduction to Artificial Neural Networks (ANNs), and their applications

• ANN Components and Function

• Deep Learning

• Convolutional Neural Networks

• Recurrent Neural Networks

• GANs and Transformers

Module 7: Robotics and Reinforcement Learning

• What is Reinforcement Learning (RL) and its components

• Markov Process

• RL Method

• Robotics

Module 8: Generative AI

• Introduction to Generative AI

• Introduction to Variational Autoencoders (VAEs)

• Understanding Generative Adversarial Networks (GANs)

• Applications of Generative AI

• Ethical Considerations in Generative AI

• Creativity and Problem-Solving with Generative AI

• Real-World Case Studies of Generative AI

Module 9: AI and Business Application

• Supervised Learning Applications - Time Series Applications

• Semi-Supervised Learning - Recommender System Applications

• Self-Supervised Learning and Large Language Models (LLMs)

• Unsupervised Learning - Clustering Applications and Anomaly Detection

• Reinforcement Learning Applications

Module 10: Cybersecurity

• Cyber Threat Landscape

• NIST Cybersecurity Framework

• Cybersecurity Defence in Depth

• Develop Cyber Resilience

• AI in Cybersecurity

Module 11: Other Technologies: IoT, AR/VR

• Forms of Reality & Trends

• How Good Does the VR Visual Display Need to Be?

• Development Pipeline & Tools

• Theories of Motion Sickness

• AI/ML in the Development Pipeline and Solutions

• How 5G MEC Helps in Building AR/VR and Intelligent IoT Applications

Module 12: Innovation Strategy to Address Digital Disruption

• Digital Principles

• Types of Innovation

• Ideation

• Innovation Funnel

• Examples of Venture Hubs

• Pitfalls

Module 13: System Thinking and Agile Methodologies

• System and Systems Thinking in Innovation

• Goal and Value of Systems Thinking in Innovation

• Feedback Structure Dictates Problem Behaviour

• Agile Methodology

• Refactoring and Retrospectives

• Project Dynamics and the Role of Agile Methodology

Module 14: Implementing Digital Innovation

• Green Field Approach

• Different Phases of a Green Field Approach

• Pathway to Innovation from Legacy

• Interview with Thorsten Neumann

• Case study Hyfindr

• Case study kyberlife

• Mission Pyramid of Technology

Module 15: Building Team and Digital Culture for Transformation

• Understanding Digital Transformation

• Importance of Team Building

• Creating a Vision for Digital Culture

• Cultivating Innovation and Adaptability

• Measuring and Sustaining Digital Culture

Module 16: Managing Digital Complexities and Change Management

• Change Management in the Digital Era

• Strategies for Managing Complexity through Digitalisation

• Crisis Management in the Digital Age

• Enhancing Project Management Skills for VUCA Environments

• Managing Complexity in a Global Digital Workforce

Module 17: Leading through ESG Challenge

• Understanding ESG

• Strategies for ESG Integration in Digital Transformation

• Managing ESG Risks in Digital Transformation Plans

• ESG Reporting and Transparency

• Leading Teams in Sustainable Transformation Initiatives

Module 18: Technology and Innovation: Security and Governance

• Enterprise Governance

• Digital Strategies and Technology Governance

• Portfolio Prioritization

• Security Governance

• Data Governance

• Risk Management

The Capstone Project will give participants an opportunity to apply the learnings from this program to a key industry or a real-world situation.

The programme is delivered fully online, blending recorded content with 3+ live sessions from the world-renowned NUS faculty. It offers rich networking opportunities through live office hours, personalised support from industry leaders, interactive assignments, quizzes, discussion boards, a networking event with global peers, expert interviews, and a two-week capstone project, making it a well-rounded leadership development experience.

This programme is designed for technology leaders, managers, and professionals looking to drive innovation, lead digital transformation, and enhance their leadership capabilities. It's ideal for those in or moving into roles in technology leadership, innovation, or change management, and is suitable for anyone exploring executive leadership programmes, programmes in management, or emerging leaders’ institutes.

The curriculum covers digital transformation strategy, emerging technologies like Generative AI, business model innovation, cybersecurity, and agile thinking. These areas are essential in any leadership programme aiming to prepare participants for the challenges of modern technology leadership.

Yes, this is a 20-week (4–6 hours/week) leadership development programme designed to be completed alongside full-time work commitments. It offers an accelerated and practical approach for learners looking to build or sharpen their leadership skills quickly through top-tier NUS programmes.

Upon successful completion of the programme, participants will be awarded a verified digital certificate by the NUS School of Computing. This certificate demonstrates your achievement in the Technology Leadership and Innovation Programme and can be a valuable addition to your professional profile, highlighting your commitment to advancing your skills in technology leadership.

The full programme fee is US$5,000. Yes, installment plans or financial support options are available. Participants can contact the programme advisors for more information.

We encourage learners to complete the programme to fully understand the concepts and derive valuable learning outcomes. However, if you still choose to withdraw, you may request a full refund within 7 days of payment or 14 days after programme commencement, whichever comes later. After this period, the programme fee becomes non-refundable.

This programme stands out due to its comprehensive curriculum, integration of real-world case studies, and the prestige of the NUS School of Computing. It's structured around strategic models and taught by globally recognised faculty, making it a premium option among executive leadership programmes and NUS future leaders programme.

Absolutely. The programme is designed to provide practical skills and knowledge that can be directly applied to real-world challenges, enhancing your effectiveness in leading technology leadership initiatives. The lessons are delivered by lecturers from NUS School of Computing and experienced practitioners who are experienced senior technology leaders.

Yes. The programme includes hands-on exercises and a capstone project that allows participants to apply learned concepts in practical scenarios, fostering both innovation leadership and leadership development. Application-based assessment enhances critical thinking.

It’s a blended format. While most of the content is self-paced, it also includes live faculty sessions for real-time engagement, providing a balance between flexibility and interactive learning, ideal for busy professionals seeking NUS programmes in leadership development.

Participants have access to weekly online sessions, during office hours with programme leaders, discussion boards for peer learning, and support from industry practitioners for assignments and concept clarification.

Absolutely. This programme, delivered through a blend of academic and insights from experienced industry leaders, is designed to provide practical skills and knowledge that can be directly applied to real-world challenges, particularly valuable for those emerging leaders' programmes or programmes in management roles.

The capstone project allows participants to integrate and apply the knowledge and skills acquired throughout the programme to a comprehensive leadership strategy, simulating real-world business scenarios, key for anyone pursuing executive leadership programmes.

Yes. This is a self-paced, asynchronous programme. Post-session video recordings will be available for up to 12 months after programme completion.

Interested individuals can apply through the official programme website by filling out the application form and submitting the required information.

Prospective participants can find reviews and testimonials on the official programme website or by downloading the brochure. Additionally, searching for the NUS School of Computing’s leadership programme reviews online can provide insights from past participants.