This course provides a broad overview of organizational economics and theories in order to examine how firms make optimal economic and business decisions given the constraints emerging from the market, competition, different business situations, economic environments and information. Students will overview different economic tools and analytic approaches in setting economic goals for the firm, pricing and output determination under different market structures, forecasting and measurement, demand and game theory analysis and optimization, production and cost theory analysis, and macroeconomic policy as it affects the business environment. Therefore, the course develops on an economic perspective that is appropriate for students aspiring to manage businesses and organizations in a wide variety of service industries.


The module aims to develop students’ abilities to formulate researchable questions and hypotheses appropriate for post-graduate studies in the area of Business (finance, organizational behavior, etc.). It will provide students with the skills to apply a variety of methods and techniques to scientifically research these problems and to understand issues such as the relationship between qualitative and quantitative methods and the importance of research ethics.


This course aims to develop students' abilities to analyze and evaluate e-business applications, as well as design e-business models. With a clear focus on the strategic, managerial, operational and technical factors it will provide students the expertise, competencies and capabilities required for the successful development of an organization’s e-business. An investigation is conducted on current business and technology trends including the individual, business and societal implications of e-business. The course makes extensive use of current case studies and gives students the opportunity to design new e-business models and applications. The course covers both the theoretical concepts of e-business strategy and operation, as well as their practical implications. Using in - class student exercises and presentations, the course refines students’ communication, presentation, time -management and group - work skills. The course will build on the skills developed in previous courses of the program.


This course provides students an in-depth knowledge of the main theoretical and research perspectives on contemporary marketing management. Students will critically evaluate and explore diverse contemporary marketing theories, techniques, tools, technologies and practices in order to integrate the changing consumer needs, global realities, market problems and dynamic digital challenges within strategic planning. Therefore, the course elaborates on the impact of contemporary marketing management on various organizational settings, the diverse and digitalized market environment and the operationalization of the marketing plan. Students will widen their marketing management competencies via debates on marketing case studies, seminars and discussions in order to assimilate how contemporary marketing philosophy links to company’s vision, mission and business strategy.

Companies view talent as competitive resource and thus strategically seek to acquire, engage, develop, and retain talent. This course exposes students to methods and practices to acquire, engage and develop talent as well as how leaders can develop within an organization.


This course exposes students to the behavioral and management interactions within organizational contexts, with special attention on individual, group, and organizational leadership dynamics and synergies. Students will examine how leaders can leverage employee individual characteristics (e.g. personality, perception, delegation and motive) via different leadership styles and contextual attributes (e.g. culture, diversity and structure) to create high performing employees, teams, and organizations. Therefore, links are made between leadership, emotional and social intelligence, and conflict resolution for effective decision-making

This course will assist students in widening their cognitive and professional business knowledge in decision support and business intelligence systems by covering contemporary topics such as text mining, big data analytics, visual data analytics, knowledge management, as well as traditional data warehouse architecture, planning and implementation. Students, as decision-makers, will practically apply the systematic analysis and interpretation of data approach in order to improve their business and operational decisions quality. Therefore, the course examines various dimensions of data and analytics, from a systems approach, in understanding the principles and applications of data concepts that can lead to improved business and management decision-making. Students will examine real-world business cases and examples and develop data oriented thinking and skills that are of great importance to business professionals.

This course provides a comprehensive overview of service operations and quality issues with focus on customer satisfaction. Students will review the importance of operational excellence, as a critical success factor and the operational factors that influence industry standards, including deregulation (e.g. transportation, banking, communications, energy, and health care), global competition and rapidly evolving digital technologies. The course addresses the design and management of effective and efficient systems for proper conveyance of services due to the intangible, perishable and high customer contact nature of services. Therefore, students will examine various approaches in achieving operational competitiveness in service- oriented businesses by using different tools to analyse service operations in the hospitality and tourism sector, banking and financial services, health care, transportation, restaurants, hotels and information-based services. The course expands on the strategic analysis and operational decision making, with emphasis on the later. Finally, students will reflect on improving operations and quality strategy, the service delivery system, capacity management, response time (queueing) analysis, yield management, productivity and quality evaluation and management within B2B and/or the B2C contexts.