Smart Sustainability in Tourism 26-27 S1

Course content:

Smart Sustainability in Tourism: AI Tools and Solutions for Tourism Transformation is a postgraduate course that examines how artificial intelligence and sustainable tourism interact. With a worldwide focus, the course gives learners the advanced AI tools and useful tactics they need to address urgent tourism issues including carbon reduction, resource efficiency, and encouraging responsible travel. To help tourism firms and destinations move towards more intelligent, sustainable models, students will explore innovative AI applications, data-driven decision-making, and technology-driven solutions. Participants will acquire the abilities and information necessary to bring about revolutionary changes in the travel and tourism sector while encouraging environmental and cultural stewardship through practical case studies, engaging projects, and hands – on training. This course is perfect for people who are enthusiastic about sustainability and technical innovation.

Learning outcomes:

Students who successfully complete this course will be eligible to:

• Describe the main ideas and frameworks of sustainable tourist development and how artificial intelligence might improve them.
• Determine whether AI technologies are relevant to the sustainability issues facing the tourism industry.
• Recognize the detrimental consequences of tourism on the environment, society, and economy and how AI may help reduce them.
• Recognize potential biases and ethical issues when implementing AI in tourism contexts.
• Know the fundamentals of implementing AI responsibly in destination management Technical Skills.

Objectives:

1. Acquire In-depth Knowledge of AI Applications in Sustainable Tourism
2. Develop Technical Expertise in AI Data Analysis for Tourism
3. Create Innovative Digital Solutions to Reduce Environmental Impact
4. Promote Ethical Use of AI in Tourism Settings
5. Build Strategic Leadership Skills for Digital Transformation
6. Enhance Communication and Teamwork Among Stakeholders
7. Balance Sustainability Goals with Business Objectives
8. Prepare for Leadership Roles in Innovative Sustainable Tourism

Teaching language: English

Mode of delivery: online live

Units:

1. AI Applications in Destination Management
2. Using AI to Prevent Overtourism
3. Smart Data Analytics for Sustainable Tourism
4. Digital Solutions for Carbon Footprint Reduction
5. Technology for Tailored and Environmental Visitor Experience
6. Ethical Considerations in AI Implementation

Timetable:

Each Monday, Weekly, 16:00 – 18:00 (GMT hour)

• EUNICE student: enrolled as a student (Bachelor or Master) in one of the universities of EUNICE European University consortium (check universities here).
• English level: B2.
• Preference may be given to candidates with academic or professional backgrounds in tourism, sustainability, technology, or similar disciplines.

Study Level: Bachelor, Master

• Submit your application via the button ‘Apply Now’.
• Please keep in mind that the number of participants could be limited for each course. Application does not guarantee enrolment in the course.
• The course participants will be selected based on criteria specified in the study guide.
• Your home university will inform you whether you have been accepted and provide further information about the next steps.

Specific instructions in some universities:

• BTU students: a Learning Agreement must be completed in advance in coordination with your departmental advisor. Please contact your examination office and study programme coordinator in good time once you are accepted for the courses you would like to attend. For any other questions you can contact: eunice@b-tu.de
• UPHF students: make sure to ask the approval of your director of studies (responsable pédagogique) before applying. For any question, you can contact the EUNICE office: eunice@uphf.fr
• UoP students: for questions about enrolment and recognition please consult  the responsible person at your university (Director of Studies or ECTS coordinator) or contact eunice@go.uop.gr
• IPV students: for questions about enrolment and recognition, please contact rafaela.silva@sc.ipv.pt

Any questions about enrolment or credit recognition? Contact your EUNICE courses coordinator.