Business Administration

This course is highly applied in nature with two important database topics, namely, traditional relational databases and SQL, as well as non-traditional databases and NoSQL queries. Students are expected to know basic programming using Python as a prerequisite. In this course, students learn, understand, use, and apply the principles and technologies of data management to business analytics. Doing so creates two benefits - (1) students understand the complexities of enterprise business analytics much more deeply and have a set of principles and techniques to apply to wrangle these complexities; and (2) students become technically proficient and comfortable in data management technologies (like SQL and NoSQL), so they can implement these principles on their own. In this course, students gain a much broader appreciation for real-world enterprise analytics - how data management, data science/analysis and data visualization come together to build analytics capabilities for organizations. This appreciation strengthens students’ abilities to tackle the organizational challenges associated with analytics. Finally, students become more robust technically, and develop keys technical skills needed in all business analytics professionals.

The course is practically oriented, and students work in project groups with the different concepts/change management methods before seminars and with a major project work together with a company (or other organization) during the course. A significant part of the course is made up of literature seminars, where the students actively discuss and analyze research articles in the field.

Topics in this Business Economics course include: business management and organization; the nature and economic and social aims of the firm and entrepreneurship; decision-making process at corporate and competitive strategic levels; organizational design; decisions related to firm functional areas including operations, human resources, marketing, and financial management.

This course is designed to provide participants with a practical and an experiential forum for developing cross-cultural competencies necessary for international managers.  This course exposes participants to critical issues of managing diversity in the context of understanding international business. It focuses on highlighting examples from Korean culture, society and business to draw insights to the impact of culture in business. 

The course considers the following questions:  

• What is global leadership?  How do I develop a global mindset? 

• What are the common challenges and pitfalls faced by global managers?   

• What are the PRACTICAL skills necessary for working with a global workforce? 

• How can I adjust my DOMINANT CULTURAL style to INTERACT WELL across cultures? What is Korean culture? 

This course covers the main trends in environmental management in industry. Students explore the central concepts in environmental management, such as pollution prevention, environmental management systems, life-cycle management, environmental management strategies, industrial ecology, and circular economy. They learn selected theories and models concerning environmental management, in particular the four-stage model of environmental strategy, models of Corporate Social Responsibility, the organization theory of Mintzberg, and ecological modernization theory. In addition to explaining these concepts and theories, the course provides practice-oriented training based on case studies. Although the course primarily deals with industrial organizations, most of its contents also apply to other types of organizations.

This course examines methods to model and analyze statistical dependencies in data. The methods are useful for detecting, analyzing and making inference about patterns and dependences within the data so as to support business decisions. This course offers an insight into the main statistical methodologies for modelling statistical dependence in both discrete and continuous business data. This provides the information required for a range of specific tasks, e.g. in financial asset valuation and risk measurement, market research, demand and sales forecasting and financial analysis, among others. The course emphasizes real empirical applications in business, finance, accounting and marketing, using modern software tools.

This course introduces the principles of investments and major issues currently of interest to all investors. It focuses on stock markets, portfolio theory and practice, equilibrium in capital markets, efficient market hypothesis, and behavior and portfolio performance evaluations. The course explores intuition and practical applications of investment theory and analytical analysis. 

This course focuses on understanding the process and results of marketing research (MR) and its applications. After taking this course, students will be able to experience the entire process of MR, including problem definition, research design, data collection, data analysis, interpretation, and reporting of results. This course emphasizes an applied approach to the practical application of marketing research to management.

This course provides an overview of modern financial markets and instruments and introduces the fundamentals of valuation and financial theories that help understand asset prices and investments.  The course covers money markets; capital markets; fixed income securities; derivatives; portfolio theory; the Capital Asset Pricing model; the Arbitrage Pricing Model, and market efficiency. 

This course provides students with a grounding in classical and cutting-edge interdisciplinary social scientific theories of work and empirical developments in the study of how people and organizations relate. It helps students develop a strong set of critical analytical and conceptual frameworks and applies them to a series of contemporary issues in the organization of work, labor markets, and economic life. Critical social theories are used as a means by which commonplace understandings of work can be unpicked and unpacked to better capture and represent the experience of changing workplaces and careers. Applying different theoretical and conceptual frameworks in different empirical contexts, the course focuses specifically on the varied range of forms and locations in which work takes place, including work inside and outside the home, the gig economy, health and social care, the digital economy, migrant labor, and unemployment as they are experienced in social-psychological terms across lines of class, ethnicity, age, and gender.