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Micro-accreditation in Data Science for Hospitality & Tourism II

Data Science 2 Topo

Micro-accreditation in Data science for Hospitality & Tourism II (Predictive Analytics)

Predictive analytics takes advantage of statistical, Data Mining, and Machine Learning algorithms and techniques to estimate future outcomes based on historical data. Micro-accreditation in Data science for Hospitality & Tourism II (Predictive Analytics) will familiarize students with the most common predictive analytics algorithms and techniques and their applications in hospitality and tourism.

Who is it for?

This course is intended for professionals in the field of tourism and hospitality who want to understand a set of concepts and methodologies that can be used for effective and successful management of digital transformation projects.

Learning outcomes:

By the end of the course, the students will be able to:

  • Understand the differences between Machine Learning, Data Mining, and Predictive Analytics.
  • Recognize and identify Machine Learning tools and applications in hospitality and tourism.
  • Understand the Machine Learning project lifecycle.
  • Identify and know how the main families of algorithms work.
  • Identify and know the key performance measures used in Machine Learning models.
  • Know how to apply the different key algorithms in hospitality and tourism cases using Python.

General Information

Course Delivery

Dates: The classes will start in February 2024, running after working hours (after 6:30 p.m.). 

Format: Hybrid (students may choose to attend in person or online via zoom). The exams will be on-site.

Entry Requirements:

To enter this program, applicants must meet the following requirements:

  • Hold a bachelor's degree in a compatible field (completed by September 2023);
  • Be proficient in English (spoken and written).

Registration: through the form until January 19th.

Registration payment: until January 21st.

Selection Process: The selection process is based on the analysis of academic and professional curriculum. The members of the Admissions's Jury Panel may decide to hold an interview with all or some candidates - face-to-face or videoconference.

Tuition Fee:

The tuition fee is €1.450. However, the 2023-24 edition, starting in February 2024, has the special support of TIA | PRR, so there will be a discount of around 50% for residents in Portugal during the entire program, with the tuition fee for these Students being €725.

The program will only start after the enrollment of at least 15 Students and the special value of the TIA | PRR, cannot be combined with other discounts.

Duration and ECTS

This course has a duration of 28 hours and awards 7.5 ECTS to participants.


The course will be taught in English.

Professor Responsible

Nuno António

Program Coordinator

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