Business Administration

This course covers the concepts, operation, and terminology of foreign exchange markets; international investment decision-making; sources of and approaches to managing foreign exchange exposure; political risk; and international funding mechanisms and financial decision-making in multinational business organizations.

This course covers the principles of relationship marketing. Students are introduced to strategic and tactical issues involved in building and managing relationships with customers. The course also deals with analytical methods for identifying customer needs, calculating customer lifetime value, making targeting decisions, and evaluating the impacts of marketing activities. Emphasis is placed on the implementation of the methods using software tools. Topics include Marketing math, Analyzing customer data, Identifying customer needs & segmentation, Evaluating the impacts of marketing activities, Utilizing transaction data, Making targeting decisions, Customer retention, Customer lifetime value, and Relationship marketing in digital environments.

This course prepares students to enter the ever-evolving 'world of work' by exploring the dynamics that influence current and future employment trends and how to respond to these evolutions through self-adaptation. Students explore the socio-economic and business environment that futurists anticipate for the next decade and develop career strategies to address the challenges posed by the rapidly evolving work environment. Students acquire the necessary skills in interpersonal communication, relationships, group discussions, and presentations to effectively respond to the demands of a more fluid and dynamic global work environment. 

The course is more than a language course as it also explores socio-pragmatic competence in professional settings through development of discourse analysis and strategies, identification of both general and specific needs and requirements in given and ever-evolving situations and development of constructive approaches to satisfying those needs based in part on multicultural perspective and sensitivity. 

This course introduces data science techniques to harness financial data for making sound financial decisions or answering questions of financial interests. It combines tools used in a variety of fields (finance, economics and statistics). Students will finish the course equipped with a workman’s familiarity with the tools of financial data science, facility with financial data handling and statistical programming, and—hopefully—a good understanding of what decisions you want to make, or what questions you want to ask and how best to do it with econometric tools and financial data.

This course provides students with the knowledge and skills commonly adopted in practice to implement Enterprise Risk Management (ERM) framework utilizing risk management qualitative and quantitative methods. The course addresses how to identify, assess, control, and respond to risks for an enterprise and also integrates risks with business strategy to improve performance. In addition, the course identifies environmental, social, and governance (ESG) related risks to be incorporated into ERM framework. Last, this course introduces the practical implementation and application of financial risk management covering market, liquidity, credit, and operational risk measurement and management from the viewpoint of financial institutions.

This course introduces students to the field of information management with particular emphasis on the management of information within organizations. Students are provided with opportunities to explore the basic concepts and principles of information management as well as apply these concepts and principles to practical problems. Advanced topics are also introduced throughout the course to foster greater depth of understanding, to challenge students to think about established issues in new ways, and to highlight gaps in our current understanding. Some appreciation is also fostered for the limitations of empirical research and for the unique challenges associated with the management of information. The course discusses themes that are directly relevant to producing information management professionals. Some of these topics are measuring the impact of IT on business performance; IT consumerization; Big Data: the role of business intelligence and business analytics; IT governance; and information security. All of these topics are on the top of the agenda of an information manager, and practitioners are constantly looking for methods to better address these issues. For non-IM specialists, a discussion of these topics helps to understand the most relevant problems that are part of using IT in organizations. Given the widespread use of IT, managers who are active outside the field of IT also deal with many of these same problems on a regular basis. The discussion of each topic focuses on methods and tools that are being used by practitioners to deal with these issues. For most topics, additional readings are available to provide background knowledge for students who lack the relevant prior knowledge.

This business course covers entrepreneurial thinking, the entrepreneurial process, theoretical models related to entrepreneurial mindset, business modeling, principles of Agile Modeling, the phenomenon of leadership, challenges of entrepreneurial leaders, and schools of leadership.

The course focuses on introducing students to the knowledge and application of key marketing concepts and tools used by organizations. The course emphasizes the consumer and value creation fundamentals of developing marketing strategies and tactics.

This course explores how global “Unicorn” startups, such as OpenAI, Uber, Airbnb, ByteDance, SpaceX, and Taiwan’s Appier and Gogoro, evolved from early ideas into billion-dollar enterprises. Using the proven frameworks of Silicon Valley’s start-up ecosystem, the course emphasizes the Business Model Canvas and customer development methodology to ensure strong product–market fit and effective pivoting strategies. Through a team-based, hands-on approach, students form startup teams, test business hypotheses outside the classroom, and refine their models through direct feedback from professors, entrepreneurs, and investors. The course provides real-world experience in building scalable ventures, culminating in the creation of a viable business model ready for competition or seed funding opportunities.