PostGraduate in Business Analytics for Hospitality & Tourism
Today, Data science allows to develop analytic models that simultaneously promote quality visitation and a better monitoring and management of these spaces, adopting metrics that, instead of just counting the number of visits, objectively evaluate the value created by each tourist who visits us.
The Postgraduate Program in Business Analytis for Hospitality and Tourism responds to this need for higher education in a fundamental area for the development of the national economy and aims to prepare professionals capable of participating actively in the development and application of analytical models for tourism, combining the various areas involved in tourism with a cross-cutting edge approach to data science to leverage them.
This postgraduate program is aimed at senior managers, public and private technicians, consultants, entrepreneurs and other professionals who wish to acquire analytical skills in data science in the field of tourism, using the most advanced information management technologies, data collection and analysis methodologies.
Applications - 4th call for applications
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end from July 27th to August 17th 2021. The selection process is based on the analysis of the applicant's academic and professional curriculum.
Access to other programs
To earn the postgraduate program diploma in Data Science for Hospitality & Tourism, students complete 8 course units (a total of 60 ECTS).
Paulo Miguel Rasquinho Ferreira Rita, Miguel de Castro Neto
After Working Hours
To earn the postgraduate program diploma in Business Analytics for Hospitality and Tourism, students complete a total of 60 ECTS, correponding to 8 course units.
Conditions of admittance
The requirements for the applications are: a degree in a compatible field (complete until September 2021); analysis of the applicants' academic and professional curriculum.
|1º year - Autumn semester
|Business Analytics in Tourism
|Data Science I
|Management in Hospitality and Tourism
|1º year - Spring semester
|Data Science II
|Digital Transformation in Hospitality and Tourism
|Project in Hospitality and Tourism Analytics