Main Courses of the International Business Program
Course 1: International Business
Content
· This course covers the following four parts: 1) international business environment, 2) international business strategies, 3) international business operations, and 4) international business conventions and organizations.
· The part of international business environment describes confounding factors including legal, political, cultural, and ethical differences where cross-border business runs, and changes in global business cooperation.
· The part of international business strategies concentrates on company and policy strategies. Game theory on business decision-making is utilized and emphasized.
· The part of international business operations introduces the basics of global marketing, MNE human resources management, and accounting.
· The part of international business conventions and organizations covers regional economic integration, international financial and monetary market, and world business organizations.
· Theories and points contained in part 1) and 2) are mostly taught by case study.
Expected Outcomes
Students who successfully completed this module will
· develop multi-perspective thinking;
· internalize the knowledge content in an immersive learning environment;
· understand decision-making process in business;
· cultivate conventional knowledge on international business operations and organizations; and
· acquire professional business communication skills in English.
Course 2: Business Statistics
Content
· This course will introduce business statistics and the application of statistics in workplaces. Statistics is the way to collect, analyze and interpret data. Students can apply statistics to any field, because we interpret the data best when it is presented in an organized manner.
· The main contents can be divided into two broad subfields: descriptive statistics and inferential statistics.
· Descriptive statistics refers to activities that use tabulations, classifications, graphs, and computational generalizations to characterize data. Inferential statistics are statistical methods that examine how sample data can be used to infer characteristics of population.
Expected Outcomes
Students who successfully complete this course will
· understand the elements of descriptive statistics, and apply them to solve problems and understand datasets;
· create graphs and visual representations of data, and interpret information presented in graphs;
· use a point estimator from a sample to estimate the entire population, and estimate intervals over which the population parameter could exist with sample data;
· apply a hypothesis experiment for testing population parameters with one or two samples;
· identify and explain components of a linear regression model, and interpret the values of those components;
· explain the importance of statistics and statistical analysis for the applicability to business scenarios; and
· know how to apply statistical tools to analyze data, draw conclusions, and make predictions about the future.
Course 3: Essentials of Business Analytics
Content
· The basic concepts involved in data analysis and the data-related abilities.
· The main contents are related to descriptive quantitative analysis methods, predictive quantitative analysis methods and instructional quantitative analysis methods.
· On the basis of learning theoretical methods, students learn to use Excel or SPSS and other software to implement methods through case analysis, consequently laying a foundation for data mining.
Expected Outcomes
Students successfully completing this module will
· master the concepts and principles of basic data analysis methods, be proficient in office software and data analysis software, and lay a solid foundation for the study of data mining theory in the future;
· have a good application ability and problem analysis and solving skills, be capable of analyzing practical problems, selecting appropriate data methods, and solving problems with Excel or SPSS and other software skillfully, meet the basic requirements of a data analysis position, and have the ability to learn other data analysis software and knowledge by themselves in the future; and
· have certain data-related abilities, a rational view of the changes and problems in the current data era, and critical thinking.
Course 4: MNE Operation & Management
Content
· General principles of MNE management
· Development and modes of FDI: greenfield & M&A
· Global strategies of MNE
· Strategic alliance of MNE
· Technology transfer of MNE
· Case studies of FDI in China and Chinese MNE around the world
· Case studies of China’s Belt and Road strategy
Expected Outcomes
Students successfully completing this module will
· understand the basic problems and principles of MNE management;
· apply the basic knowledge of MNE to their future work; and
· further understand China’s policy of Reform and Opening up and the Belt and Road initiative.
Course 5: International Business Negotiation
Content
· Introduce the definition of negotiation, the key elements of a negotiation process, and the features of negotiation.
· Analyze how people use negotiation to manage interdependent situations and achieving their respective goals.
· Define how negotiation fits within the broader perspective of processes for managing a conflict.
· Gain an understanding of alternative dispute resolution system used by organizations.
Expected Outcomes
Students successfully completing this module will
· understand negotiation problems and possible solutions, and comprehend necessary tools for economic analysis and relevant social conflicts within which economic policies are applied;
· apply relevant theories and practice skills to the work of international trade; and
· understand the potential and limits and of negotiation.
Course 6: International Investment Theory
Content
· This course is one of the core courses in international economics, international trade, international business and international finance, etc.
· The course aims to provide students with an understanding of the international monetary environment for international investment, various investment instruments, and the operating mechanisms in international financial markets.
· Introduce the special risk factors in global investment and the optimal allocation of the portfolio in the global environment.
· On the basis, students can use what they have learned to guide scientific and reasonable international investment decisions and operations.
Expected Outcomes
Students successfully completing this module will:
· have knowledge of essential concepts and models, and be able to apply it to make international investment decisions; and
· understand financial instruments, their mechanism and the assessments of risk & return (such as derivatives, forward, futures, options and swaps).
Course 7: International Marketing
The course aims to
· introduce the challenges of global markets in terms of different political, social, economic, and technological environments;
· discuss key concepts, theories and debates in the theory of international marketing;
· examine marketing tools for analyzing the advantages and disadvantages of related international marketing decisions; and
· illustrate how theoretical debates can be related to international marketing strategies by case studies covering a variety of industrial settings and situations.
Expected Outcomes
Students successfully completing this module will
· understand the scope and nature of marketing planning, practice and theory in a global context;
· identify opportunities in the global environment by conducting market research and analysis;
· evaluate the internal core competences of a firm in the global business environment; and
· examine regional and national differences, and be able to design marketing strategies in new environments holistically.
