Elective Courses

Digital Marketing (3 credits)

It is a digital age. Digital approaches have been widely used in marketing. Effective marketing and strategy require organizations to effectively use the information technology and tools to analyze the market, to reach customers, to deliver online customer experience, and to improve the organization’s performance. All these are valuable and necessary knowledge for business students today. This course aims to train students with up-to-date knowledge about using digital media to implement digital marketing strategies and plans. Students will learn concepts, theories, technologies and practices focusing on digital marketing, which are different from traditional marketing models. The content will be divided into three parts, including an introduction to the digital environment; the development of digital marketing strategy; and the implementation and practice including online customer experience, and marketing campaign and communications using digital channels. The instructor will also provide real business cases, his own research reports, and readings as supplementary materials in addition to the textbook, with the purpose of broadening students’ horizons, boost their self-learning abilities and develop their analytical skills on key and contemporary topics in the field. At the end of the course, students can expect to have acquired the conceptual background for understanding contemporary issues of digital marketing, as well as the competencies to address related problems in a managerial perspective. The subject matter will be addressed through a mix of lectures, exercises, case analyses, projects and presentations.

Systems Analysis and Design (3 credits)

This course provides an in-depth exploration of the end-to-end process of information systems analysis, design, and implementation, aimed at equipping students with core concepts, practical technologies, and structured methodologies to address the complex challenges of modern enterprise system development. The curriculum covers critical topics including requirements analysis, systems development methodologies, process modeling, data modeling, system design principles, project planning, and implementation process management. The emphasis is placed on integrating business value with management practices, showing how information systems drive organizational strategy, enhance operational efficiency, and create competitive advantages. Through selected real-world industry case studies, students engage in analytical discussions to refine their understanding of pivotal business challenges and develop actionable insights.

Financial Data Analysis (3 credits)

This course is designed to provide a comprehensive introduction to core quantitative methods in financial data analysis and to develop students’ ability to construct evidence-based financial models. Students will build a robust analytical framework to test predictions of financial theory, evaluate the effectiveness of investment strategies, and identify patterns and risks in financial markets. The course adopts a rigorous mathematical and statistical approach, focusing on econometric principles and their applications in finance. Teaching content will be demonstrated through practical examples using Stata software. Students will gain hands-on experience in data processing, regression analysis, and financial modeling, enhancing their empirical analysis skills in areas such as market trend forecasting and asset pricing.

Enterprise Resource Planning (3 credits)

With globalization and growing dependency on partners, effective supply chains have become as important for a company’s success. Most major business processes are handled with the help of Enterprise resource planning (ERP) system, and most business transactions are recorded in this system. This course introduces theoretical knowledge of ERP systems in supply chain management and covers hands-on experiences about purchasing management, sales management and inventory management.

Project Management (3 credits)

This subject is to provide students a conceptual introduction to Project Management and Project Management in convention and exhibition, involving organizational context, project selection and portfolio management, leadership and the project manager, scope management, project team building, conflict and negotiation, risk management, cost estimation and budgeting, project scheduling and critical path, resource management, project evaluation and control, project close-out and termination. Cases and integrated project exercises will also be combined with the contents.

Intelligent Supply Chain (3 credits)

This course combines modern supply chain management theories with intelligent technology applications to explore the design, implementation, and optimization of intelligent supply chains. The course content includes fundamental supply chain theories, applications of intelligent technologies in supply chains, demand forecasting and inventory optimization, supplier relationship management, risk management, and sustainable supply chains. Through case studies and practical projects, the course cultivates students’ abilities to apply intelligent technologies to solve supply chain management problems.

Special Topics in Business Intelligence and Data Analytics I (3 credits)

This course provides an in-depth exploration of how blockchain technology drives cross-industry innovation, systematically analyzing its transformative impact on traditional business models. Starting from foundational concepts in computer networks and cryptography, the core blockchain principles, smart contract development, and the decentralized finance (DeFi) ecosystem will then be introduced. Through case studies in finance, marketing, and supply chain management, students will examine blockchain’s critical role in enhancing system security, improving operational transparency, and optimizing business efficiency. Beyond mastering technical foundations, students will have insights into blockchain’s disruptive innovation potential and future development trends through industry case studies and empirical research.

Special Topics in Business Intelligence and Data Analytics II (3 credits)

This course focuses on the practical applications of text mining technology in the business field, aiming to cultivate students’ ability to transform unstructured text data into business insights, enabling them to construct effective analytical models for in-depth exploration of real issues such as market trends, customer feedback, or competitive intelligence. In the contemporary business environment characterized by data explosion and AI dominance, this skill is extremely crucial and indispensable for students who will engage in business intelligence, strategic planning, or risk management in the future. Students must firmly grasp text preprocessing techniques, sentiment analysis methods, topic modeling tools, and Natural Language Processing algorithms; generally understand business intelligence extraction, customer insight applications, risk prediction strategies, and data privacy ethics; and at the same time, pay attention to the cutting-edge developments in text mining for business applications.

Financial Risk Analysis (3 credits)

This course delves into modern financial risk management techniques. Financial risks are generally categorized as market risk (arising from fluctuations in financial prices or volatility), credit risk (arising from the unwillingness or inability of counterparties to fulfill contractual obligations), liquidity risk (the inability to trade at prevailing market prices due to factors such as cash flow constraints), and operational risk (caused by human or technical issues). The course covers measurement techniques for different types of financial risk (equities, fixed income, currencies, and commodities) and financial instruments, including core analytical tools such as duration, portfolio beta, factor sensitivity, portfolio distribution analysis, and value at risk (VAR). The course also discusses how to use risk measurement tools to proactively manage the risk / return characteristics of financial institutions and provides professional insights for policymakers on how to use financial regulatory measures to enhance financial stability.

Business Internship (3 credits)

The internship is an elective course to provide the opportunity for students to work in various departments related to their disciplines. It provides students with valuable and worthy experiences for their future professional development.