Elective Courses

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.

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 AIand 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 is designed to provide students an opportunity to acquire first-hand knowledge of international business environment. Experiential learning and knowledge exchange will be applied throughout the study field trip to develop students’ understanding of international business environment in a different cultural context and help them construct a global perspective. Firm visits and cultural related activities will be arranged during the study field trip to arouse students’ awareness in cultural diversity and enhance their understanding of how culture can impact international business strategy. 

Note: This course is not open to candidates who have taken or are taking MACC7025, PMAA7021, CGRM7107, ECON6100, MFIN7057, PMGM7043, MSBA7034, MSMK7020, MSAF7016 orPMWM7015.