Chief Operating Officer (COO) Programme

Module 7: Financial Leadership for COOs – Part 1

• Discuss the role of accounting and finance in business, emphasizing their strategic importance for organisational success.

• Analyse the strategic roles of managerial accounting by examining cost behaviours and the effects of cost structure changes on profitability and operations.

• Assess the significance, efficiency, and efficacy of working capital management in safeguarding financial health, enhancing operational efficiency, and supporting sustainability.

• Evaluate the impact of market and firm-specific risks on financial reporting and decision-making, while discussing the need for an improved measurement systems.

Module 8: Financial Leadership for COOs – Part 2

• Discuss the critical role of financial information in business processes and its link to organisational relevance.

• Explain financial statement elements and analyse their significance for informed decision-making.

• Discuss the business implications of financial statements in shaping overall organisational strategy.

• Demonstrate financial statement analysis techniques to address business issues and recommend solutions for organisational challenges.

Module 9: Data-Driven Decision-Making and Analytics – Part 1

• Discuss the key components of a data strategy, analyse associated challenges, and propose coherent actions for high-stakes organisational issues.

• Analyse data governance components—including data security, privacy, and essential management processes—to ensure robust organisational data practices.

• Discuss the differences between analytics, AI, ML, and deep learning, and analyse the transformative role of AI/ML in enhancing decision-making and operational efficiency.

• Evaluate model effectiveness by examining the charts versus models, analysing supervised and unsupervised learning approaches, and assessing model explainability.

Module 10: Data-Driven Decision-Making and Analytics – Part 2

• Discuss how historical events can be modelled to synthesise insights for improved organisational decision-making.

• Analyse model training and testing processes to enhance predictive accuracy and support effective decision-making.

• Evaluate robust error estimation techniques—including 10-fold cross-validation—to assess their impact on predictive accuracy.

• Analyse the application of regression and CART models by examining linear regression, logistic regression, and CART predictions to refine organisational strategies.

Module 11: Role of Technology, Data, and AI in Operational Efficiency and Optimisation

• Discuss how AI-driven technologies enhance operational efficiency, sustainability, and human-AI collaboration, and analyse how data and AI support strategic foresight in planning.

• Demonstrate how the intelligence cycle converts raw data into actionable insights for strategic decision-making by leveraging dynamic insights and analytics stages.

• Evaluate and demonstrate how the Data Science Hierarchy of Needs aids organisations in building advanced AI capabilities and optimising operational efficiency.

• Analyse predictive planning techniques to improve operational forecasting and align strategies with organisational vision.

Module 12: Data-Driven and Innovation-Led Leadership

• Apply data from the Data Pyramid to make strategic decisions that improve operational efficiency.

• Discuss Decision Needs Analysis to optimise operational decision-making and align strategies with organisational objectives.

• Apply Decision Needs Analysis to optimise inventory management by reducing costs and improving customer satisfaction.

• Evaluate how integrating data-driven insights with Decision Needs Analysis fosters innovation-led leadership and continuous operational improvement.

Module 13: AI and Its Impact on Enterprise

• Analyse AI's evolution from rule-based systems to deep learning and its impact on driving organisational innovation and optimising decision-making.

• Analyse how supervised, unsupervised, and reinforcement learning enhance decision-making within organisations.

• Assess AI's alignment with human senses to improve both innovation and decision-making processes.

• Evaluate how emerging AI technologies—including computer vision, forecasting, and platforms —improve operational efficiency, disrupt industries, and enhance product development.

Module 14: Generative AI Impact on Enterprise Organisation

• Analyse how Human-Centered and Human-in-the-Loop AI approaches drive operational excellence and enhance decision-making.

• Discuss how AI-human collaboration improves efficiency, performance, and fosters innovation in organisational operations.

• Analyse and evaluate examples of responsible versus irresponsible AI applications and assess AI's dual role in security and decision-making to foster ethical practices.

• Discuss the impact of advanced analytical techniques and the implementation of FEAT principles in AI strategies to enhance organisational effectiveness, integrity, and trust.

Module 15: The Future of IoT, Automation, and Robotics

• Discuss the key pillars of Industry 4.0 and their role in shaping the foundation for Industry 5.0.

• Evaluate Industry 5.0 principles to enhance organisational strategies for human-centric and sustainable production.

• Assess Industry 5.0 technologies for improving operational efficiency and driving sustainable organisational growth.

• Analyse the strategic benefits of transitioning from Industry 4.0 to 5.0 in elevating the COO's role and overall organisational performance.

Module 16: Human Capital Management

• Discuss how Human Capital Management leverages data-driven workforce insights to enhance decision-making and optimise performance.

• Analyse the shift from HRM to HCM and its impact on aligning employee development with organisational strategic goals, engagement, and productivity.

• Apply HCM strategies to optimise workforce planning in alignment with organisational objectives.

• Assess the effectiveness of HCM strategies in fostering innovation and driving organisational growth.

Module 17: Organisational Design and Transformation

• Discuss various types of organisational change and their strategic relevance in enhancing business success.

• Analyse the four pillars of cultural transformation and their impact on fostering organisational success.

• Analyse driving and restraining forces using Force Field Analysis and evaluate strategies to manage resistance to transformation.

• Formulate inclusive, high-involvement transformation strategies that align organisational goals with employee engagement.

Module 18: The 21st Century Leader Capabilities

• Analyse leadership strategies, organisational norms, and the role of culture in mitigating toxic environments while fostering innovation, adaptability, and collaboration.

• Develop strategies to enhance cultural intelligence for effective integration—and assess its role in mergers—to boost organisational effectiveness and profitability.

• Formulate approaches for leading advisory boards effectively to drive success in competitive markets.

• Discuss the SCARF model’s application to enhance communication and influence within organisational leadership.

Module 19: Building and Leading High-Performing Teams: Part 1

• Analyse and evaluate the differences between high- and low-performing teams, recognising the COO’s role in addressing development challenges and fostering excellence.

• Understand the integrative model by analysing three mechanisms that collaboratively create effective, high-performing teams.

• Evaluate strategies to enhance organisational culture and examine how structure influences teamwork and collaboration.

• Analyse a software engineering case study to reflect on necessary adjustments in organisational structure components.

Module 20: Building and Leading High-Performing Teams: Part 2

• Enhance leadership style and recognise the COO’s role in building agile teams that drive organisational goals.

• Identify and optimise team structures, compositions, and member competencies to boost dependability, productivity, and workplace harmony.

• Understand and implement essential team processes and strategies to improve dynamics and foster effective collaboration.

• Apply a four-dimensional framework for resource allocation and develop strategies to overcome challenges in virtual team settings.

Module 21: Communicating in the C-Suite: Influence and Persuasion – Part 1

• Analyse how attitudes, values, beliefs, and the interplay of motivation and ability influence decision-making and persuasion.

• Evaluate communication scenarios to determine when to use central versus peripheral routes, applying the Elaboration Likelihood Model for tailored messaging.

• Discuss and assess techniques for crafting messages that resonate with stakeholder motivations and drive alignment.

• Evaluate strategies for overcoming resistance and objections while reviewing core concepts of influence and persuasion in the C-suite.

Module 22: Communicating in the C-Suite: Influence and Persuasion – Part 2

• Discuss and apply the six principles of influence—including Cialdini's principles—to real-world communication scenarios.

• Evaluate and apply narrative persuasion techniques to foster engagement and influence decisions in professional contexts.

• Apply the Toulmin method to construct logical arguments, rebuttals, and develop persuasive business cases.

• Create integrated communication frameworks that leverage influence principles, narrative strategies, and logical argumentation while addressing objections and resistance.

Module 23: Leadership in the Green Economy

• Discuss key sustainability concepts and strategic leadership practices that drive effective organisational strategies and operational decisions for competitive advantage.

• Implement the Higher Purpose Framework to integrate sustainability and equity into organisational strategies and operations.

• Apply Green Economy principles and Sustainable Development Goals to enhance organisational sustainability and social responsibility initiatives.

• Analyse how Johnson Controls’ digital transformation enhances sustainability and operational efficiency in intelligent building solutions.

The Chief Operating Officer Programme equips senior executives, business leaders, and operations professionals with theoretical knowledge and practical experience to align business strategies with operations, develop leadership skills, and explore data and technology. Ideal for those looking to grow in their roles, the program is offered by NTU Singapore.

The curriculum of the Chief Operating Officer Programme by Nanyang Technological University Singapore includes core pillars such as COO as a Strategic Catalyst, Functional Mastery for COOs, Technology-Led COO, and Future-Ready COO. It features real-world case studies, interactive sessions, and insights from industry leaders.

The Chief Operating Officer Programme by NTU Singapore offers a blend of live online sessions and recorded content, allowing participants the flexibility of self-paced learning while also engaging in real-time discussions.

The programme fee for the Chief Operating Officer Programme offered by NTU varies depending on the session and enrollment period. Please consult the brochure or a program advisor for the most up-to-date information.

Yes, installment or finance options are available to help participants manage the course fee in a flexible manner. Details about payment plans can be obtained by reaching out to the program advisor.

A Chief Operating Officer (COO) manages daily operations, ensuring efficiency and performance across departments while aligning activities with strategic goals. They oversee resource allocation, process improvement, and project management, collaborating with executives to drive growth. Additionally, the COO mitigates risks, ensures regulatory compliance, and develops talent to maintain a high-performing organization.

The job description of a Chief Operating Officer (COO) includes executing the company’s strategic plan by managing day-to-day operations and enhancing business processes. The COOs lead cross-functional teams to optimize performance, drive innovation, and improve operational systems. The COOs collaborate with the executive team to ensure seamless integration of business initiatives, aligning resources, technology, and talent to achieve organizational goals efficiently.

The duration of the Chief Operating Officer (COO) programme typically spans for 7 to 8 months, combining live sessions and pre recorded sessions for self-paced learning and 1-day of immersion and networking event at the Nanyang Technological University (NTU) campus.

This programme is considered one of the best for aspiring Chief Operating Officer (COO) programme due to its comprehensive curriculum, industry-relevant insights, and focus on strategic leadership. The Nanyang Technological University (NTU)’s reputation for excellence and the program’s focus on real-world application further solidify its value.

Upon successful completion of the programme, participants will be awarded a verified digital certificate by Nanyang Technological University (NTU).

Upon successful completion of the programme, participants will be invited to attend a 1- Day Campus Immersion and Networking Event at the end of the 9-month journey at Nanyang Technological University (NTU). During this event, participants will have the opportunity to network with fellow global leaders and interact with programme faculty/directors.

Some of the key designations are Chief Operating Officer, Director of Operations, Head of Operations, VP Operations, Head of Business Operation, Senior Director Operations, Supply Chain Director, Managing Director, Senior Operations Manager, Assistant Vice President Operations, Chief of Operations.

The programme spans over a duration of 7 to 8 months. Throughout the duration of the programme will focus on 4 core pillars. The 4 pillars will focus on key areas such as COO as a Strategic Catalyst, Functional Mastery for COOs, Technology-led COO, Future-ready COO.