This course is designed to provide the foundational knowledge and real experience of applying machine learning to economics forecasting. The course aims to help students understand how to apply AI and machine learning models in microeconomics and macroeconomics.

The primary focus of this course is to explore the integration and application of artificial intelligence(AI) technologies within the accounting profession. As the field of accounting continues to evolve with the rapid advancements in technology, AI has become a crucial component in streamlining and enhancing various accounting processes. This course aims to equip students with the necessary knowledge and skills to harness the potential of AI in the accounting landscape effectively. Throughout the course, students will gain insights into the fundamentals of artificial intelligence and its implications on accounting functions. By examining real-world case studies and engaging in hands-on exercises, students will develop a comprehensive understanding of how AI-driven tools can improve efficiency, reduce human error, and facilitate decision-making in the accounting profession.

The course explores the issues involved in effective management and leadership in a global business setting in the AI era. A focus of this course will be on how individuals, groups and organizational contexts would impact effectiveness, efficiency, and success of organizations dealing with AI. The main objective is to help students acquire perspectives of how individuals, teams and the entire organization would behave with the advances in AI and the presence of robots.

This course focuses on the application of artificial intelligence (AI) in marketing and studies how AI can be leveraged to optimize marketing campaigns, enhance customer engagement, and drive business growth. Students will learn how to use AI tools and algorithms to analyse consumer behaviour, 6 personalize marketing content, and predict trends in the market. Through case studies and practical exercises, participants will gain the skills and knowledge needed to harness the power of AI in the field of marketing.

Note: This course is not open to candidates who have taken or are taking MSMK7044.

This course explores the intersection of finance, technology, and artificial intelligence. It studies how advanced technologies, such as machine learning, natural language processing, data analytics, blockchains, and cryptocurrencies, are revolutionizing the financial industry. Students will learn about the applications of information technologies and AI in areas such as algorithmic trading, blockchains and cryptocurrencies, fraud detection, robo-advisor, and customer service. Additionally, the course covers the ethical and regulatory considerations associated with the adoption of information technologies and AI in the financial sector.

This course provides a comprehensive introduction to generative artificial intelligence (AI) and its applications in business contexts. Students will learn about the evolution and background of generative AI, in the context of decision-making, explore the various applications of generative AI in different business contexts, and examine the risks and opportunities associated with its use. In addition, students will investigate the importance of the use of prompts and strategies for prompt engineering in enhancing the performance and output quality of generative AI models. Through hands-on training, students will develop practical skills in designing effective prompts, fine-tuning models, and optimizing generative AI.

This course is designed to provide students with the essential knowledge for managing AI projects and products in real business situations. The course will include an overview of project management and product management principles and methodologies, with a specific focus on AI-related projects and products. Students will understand the different stages of an AI project from planning and design to development, testing, deployment, maintenance, with an emphasis on the management of cost, stakeholders, and risk. At the same time, students will learn the different aspects involved in AI product development, such as market research, product strategy, design, and pricing strategy. Contemporary project and product management methodologies will be introduced.

This course focuses on the applications of artificial intelligence in modern manufacturing management and operations management. The course will look at examples of how AI are applied in the manufacturing and operations management in real-world businesses. Examples of topics include AI and robotics in manufacturing and design, AI in logistic management, demand forecasting and inventory optimization, intelligent factory operations and Internet of Things, AI in supply chain management, predictive maintenance, and digital design and simulation.

This course explores the dynamic interplay between humans and artificial intelligence systems. Throughout the course, students will engage with a blend of theoretical foundations and practical applications, gaining insights into the cognitive, social, technical, and ethical dimensions of human-AI interaction and collaboration. Key topics include user-centred design for AI, human factors in AI systems, interactive machine learning, explainable AI, human-robots interaction and collaboration, and the role of AI in augmenting human capabilities.

This course is designed to equip students with the knowledge and skills necessary to excel in the dynamic field of management consulting in the age of AI. This course provides an in-depth understanding of the consulting industry, methodologies, tools, and strategies used by top consulting firms to solve complex business problems and drive organizational success using AI. Throughout the course, students will learn about the consulting process from the initial client engagement to the delivery of actionable solutions. They will explore various consulting frameworks, analytical tools, and best practices used in the industry with a focus on AI. Additionally, the course emphasizes the development of critical thinking, problem-solving, and communication skills essential for a successful career in management consulting.

This course aims to provide students with an opportunity acquire advanced programming skills using the Python language. Students will learn how to use various Python libraries to implement AI applications, such as chatbots, natural language processing, and image and facial recognition. Students will acquire hands-on experience in designing and developing AI applications and the relevant models behind these applications.

This course provides a comprehensive examination of China’s business environment and the intricate capital markets. China's capital markets have undergone a remarkable transformation over the past few decades, transitioning from a closed system to one that is increasingly integrated with global financial markets. The first part of this course guides students to explore China's economic policy framework, analyzing the design, implementation, and outcomes of key policy initiatives that have shaped the business environment of the world's second-largest economy. The second part of this course leads students to study the practical aspects of China's capital markets, including the stock and bond markets, the banking system, the investment with commodity and currency, the derivatives markets, and corporate governance issues in China. Students will gain valuable insights into the unique characteristics that shape China's financial markets, institutions, and regulatory frameworks. Students will engage in case studies, group discussions, and individual assignments to deepen their understanding of the complexities involved in navigating the Chinese financial system. The course aims to empower students to develop their own analytical frameworks for assessing financial opportunities and challenges in China, equipping them for successful careers.

This course introduces artificial intelligence from a managerial, organizational, and applied perspective, with particular emphasis on its implications for business strategy, innovation, and entrepreneurship. It helps students build a practical understanding of AI concepts, tools, capabilities, and limitations, and then moves to the application of AI across business functions, industries, startups, and enterprise settings. The course is organized into topics across six modules: AI foundations and literacy; AI tools, workflows, and product logic; functional and industry applications; AI strategy and business model innovation; work redesign, organization, and leadership; and AI ethics, governance, risk, and future careers. This course does not focus on the technical details or theoretical aspects of AI. Instead, this course places particular emphasis on how AI is reshaping competitive advantage, business models, innovation pathways, venture creation, work design, and the capabilities required of future founders, managers, and professionals. Rather than training students to build AI systems themselves, the course prepares them to identify AI-enabled opportunities, evaluate new venture ideas, understand how AI can be embedded into products and workflows, and participate in AI-driven business transformation in future professional settings.

This course provides HKU Master’s students with a comprehensive and academically grounded understanding of global business environments, with a particular focus on Europe as a complex institutional, regulatory, and innovation-driven context. Anchored in Barcelona, the course integrates institutional analysis with applied learning in multinational and cross-cultural settings. Experiential learning is central to the course design, with company visits (e.g., leading technology firms, multinational corporations, and international firms operating in Europe), practitioner-led sessions, and interactive workshops forming a core part of the learning experience.

This course prepares HKU Master’s students to analyze, design, and develop AI-enabled ventures across startup and corporate contexts. It integrates strategic, analytical, and managerial frameworks with hands-on project work, enabling students to identify high-impact opportunities, design AI-native products, and construct evidence-based investment cases. Set within the broader transformation of business driven by artificial intelligence, the course emphasizes an “AI-first” approach to value creation, competitive strategy, and organizational innovation, with consideration of ethical and regulatory implications in global markets. Structured around key stages of the AI venture lifecycle — opportunity identification, product and system design, and investment readiness — the course combines conceptual learning with applied team projects, including no-code prototyping and venture development. Project scope is calibrated to ensure feasibility within the course duration. By the end of the course, students will have developed a functional prototype and a well-supported venture proposal.