Internship/stage

An internship is a learning and training opportunity that can be experienced in different ways according to the guidelines defined by the University Study and Career Guidance Service (COSP), national and regional dispositions. Curricular internships are mandatory to complete the study program. To be approved, an internship must be a valuable experience with the purpose of complementing acquired theory with relevant practice in the fields of data science.

Internships have to provide students with real personal and professional enrichment. Accordingly, it is highly recommended to place this experience after the completion of the first year, in order to have acquired basic theoretical knowledge and skills to be enriched through on-the-field experience. Curricular internships must satisfy the requirements of coherence with the study plan, seriousness of the work program and ascertainable skill development.
The expected learning results correspond to 3 CFUs that can be acquired through Laboratories or Hackatons carried out with companies or organisations that include 20 hours of individual presence, along with individual study and group work or through a curricular internship of at least 75 hours.