The course will be delivered using three teaching methodologies:

a) Self-assessment and self-analysis tasks, aimed at defining professional goals. Students will also be prepared to successfully navigate a selection process in all its stages.

b) Independent work – After engaging with professionals from the sector, who will serve as references to understand industry operations and professional profiles, students will be encouraged to work independently —with support from the tutor if needed— to define their career objectives.

c) Experiential learning – Practical training in a professional environment, properly supervised and mentored by an expert in the field chosen by the student, with academic oversight from the course tutor.

During the internship, each student must observe the organization’s culture and values, and adhere to the work and personal conduct rules established by the host company. The internal internship regulations of the institution, as well as the instructions provided by the academic tutor, will also apply.

IMPORTANT: The use of mobile phones, tablets, laptops, or any other digital device in the classroom or at the workplace is strictly limited to the instructions explicitly given by the tutor (both from the institution and the host company). Unauthorized use of such devices may result in academic consequences in accordance with the regulatory framework of the institution and each organization.

Language: The vehicular language will be Catalan, while it will be adapted to the needs of each session.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

This subject does not consider the single assessment system.

The evaluation is based on the following components:

a) Attendance and participation in meetings, workshops, seminars, events, and activities organized by the Center, including those held during the Professionalization Week (such as the University–Industry Workshop). This component accounts for 20% of the final grade.

b) Monitoring of the internship and the evaluation report completed by the company tutor, which must be submitted no later than the official exam date (see exam calendar). This component represents 40% of the final grade.

c) Internship report written by the student, also to be submitted no later than the official exam date. This report constitutes the remaining 40% of the final grade.

Additional follow-up by the academic tutor with the student and/or the company tutor may be considered during the internship period. The use of this support is encouraged, especially when facing challenges, as it promotes the development of key professional competencies.

The subject will be marked as Not Assessable if the student completes less than half of the assessment activities and/or does not attend the final exam, which consists of the tutor evaluation form and the memo report. All delivered before the eexam date as per the instructions stated on the online campus.

Important:

• To pass the subject, students must pass all three components mentioned above.
• Students will be provided with the key course dates, which serve as official exam dates and are essential for eligibility for final evaluation.
• This subject allows the use of AI technologies exclusively linked to tasks specified by the tutor. The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and outcome of the activity. Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero. In cases of greater infringement, more serious action may be taken.