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Business Analytics in Tourism

1. Business intelligence for tourism destinations;
2. Data management;
3. Business Analytics;
4. Data Visualization and Dashboard Design;
5. Data Security and Privacy.

Data Science for Hospitality & Tourism I (Descriptive Analytics)

1. Nature of Data, Statistical Modeling and Visualization;
2. Big Data Concepts and Tools;
3. Data Warehousing;
4. Business Intelligence.

Digital Marketing

1. Electronic commerce in tourism;
2. Search engine marketing in travel;
3. Mobile marketing and applications in tourism;
4. Social media marketing for hospitality and tourism;
5. Electronic word-of-mouth and online reviews in tourism services.

Management in Hospitality and Tourism

1. Hospitality and Tourism Strategy;
2. Tourism Marketing and Consumer Behavior;
3. Managing Human Resources;
4. Hospitality Operations.

Data Science for Hospitality & Tourism II (Predictive Analytics)

1. Data Mining (Process, Methods, Algorithms);
2. Text Analytics;
3. Web and Social Media Analytics;
4. Optimization and Simulation.

Digital Transformation in Hospitality and Tourism

1. Drivers for digital transformation and the 5 acceleration factors;
2. Digital maturity in travel and hospitality industry;
3. How to develop the “digital core” in hospitality and tourism;
4. Exponential technologies for tourism industry.

Project in Hospitality and Tourism Analytics (Capstone)
Informação disponível brevemente.

Smart Tourism

1. Smart tourism ecosystems and destinations;
2. Smart cities and quality of life;
3. Interactive restaurant technology innovations;
4. Information technology for hotel operations;
5. Green Technologies for hospitality and tourism