This course examines qualitative research methods used in food, tourism, and sport, as well as related hospitality and service management areas. Topics include types of qualitative methods, their theoretical foundations, project design, data collection, and analysis procedures and strategies, as well as appropriate communication of results.

The course is designed to discuss theoretical concepts and theories which provide an understanding of societal, managerial and strategic aspects of tourism and hospitality. An emphasis will also be placed on key theories and concepts of relevant disciplines which may affect tourism and hospitality research.

This course introduces students to the theories and practices of the food industry, including global and regional food system, with an examination of food policies that frame supply chains. Students discuss topics that influence food systems such as ethics, supply chains, food product marketing, consumer choice, food literacy, and the food service sector.

This course introduces students to the vast, growing, and varied literature and conceptual foundations that are directly and indirectly associated with sport management. A decisionmaking frame will be adopted and key stakeholders, applications, and concepts reviewed. Key areas of sport management literature (sponsorship, sport finance, sport communications) will be emphasized.

The course will acquaint students with the tourism industry. An overview of the scale and scope, involved stakeholders,and the organization of the industry will be examined and critiqued. An emphasis will be placed on the sustainable development and management of tourism resources and organizations.

The course introduces students to the issues affecting planning and development of tourism by understanding tourism planning and sustainable development. Core elements include a discussion on tourism impacts (economic, social, cultural and environmental), issues of sustainability, carrying capacity, 'eco-tourism' and other 'alternative forms' of tourism.

An applied course introducing popular concepts, methods and applications of data mining utilizing data warehoused at the government agencies and user friendly software and cases. This course covers various topics in data mining association rule, clustering, logistic regression, decision tree and artificial neural network.

This course looks at selected analytical techniques in tourism and hospitality research, both empirical and subjective, as well the nature of research questions and theory. The course is intended to help students make informed judgements about selected research tools and designs, and draw logical and substantive conclusions.

This course is designed to enhance the student's analytical capability, using both basic and advanced analytical techniques and tools of tourism and hospitality research. They learn to critically evaluate, enabling them to make effective judgments, choose proper statistical techniques, and draw logical and substantive conclusions.

The students engage in seminars to share experiences and reflections on the research process. This course is a development of the proposal: framing a research question, developing a methodological plan within a challenging interdisciplinary area such as tourism and hospitality, data planning and more.

Advanced course for those specializing in tourism. Deals with theories of tourism generators, multi-markets, tourism multipliers, current and future trends, regulatory environments, and distributions systems.