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Work Placement

Code: 44670
Credits: 15
2026/2027
Degree programme Type Course
Pharmacology OB 0

Contact lecturer

Name :
Francesc Jimenez Altayo
Email :
francesc.jimenez@uab.cat

Teaching staff

Maria Antonieta Agusti Escasany

Group languages

You can consult this information at the end of the document.

Prerequisites

Having completed the theoretical modules of the Master.

Objectives

In the practical session the student will join either a company, a public organism or an organization of any sort, with the aim of undertaking a project linked to Clinical or Preclinical Pharmacology. The work to be carried out may be experimental (basic research, clinical trial, pharmacovigilance, etc.), or within the management arena (marketing, regulatory, etc.). This practical work will end up with the writing of a report (Final Master Work or TFM) followed by a presentation.


Such sessions will allow the student to acquire basic knowledge, abilities/skills and attitudes that will complement the theoretical education in pharmacology, and that will offer her/him another level of confidence in undertaking projects in the field of pharmacology. This activity will be closely overseen by a professor from the Department that will help the student establish an efficient educational/learning plan. This builds a close link between the Pharmacology Master of the UAB and the receiving organism providing in some instances opportunities to students for actually being recruited.

Learning outcomes

  1. Generate innovative ideas.
  2. Plan, design, use and interpret studies (not on humans) with the aim of evaluating the effects of drugs and their mechanism of action.
  3. Plan, design, use and interpret studies (not on humans) with the aim of evaluating the time course of drug concentration in biological tissues and its relation to the effects observed.
  4. Plan, design, use and interpret studies (not on humans) with the aim of evaluating toxicity and possible adverse reactions.
  5. Recognise and apply the ethical and quality requirements for conducting non-clinical research with drugs.
  6. Apply models to describe and predict the time course of drug concentrations and their pharmacological response.
  7. Interpret models to describe and predict the time course of drug concentrations and their pharmacological response

Contents

a) Practical session within a company (or a related organization): professional project aiming at providing the student with basic knowledge, abilities/skills and attitudes useful within her/his professional career, and that will also allow the student to assess her/his interest in a specific area of pharmacology.


b) Practical session in a research group: acquisition of skills in the planning of an experimental protocol (background, hypothesis, objectives, study plan/methods, chronology), design, undertaking, critical analysis and interpretation, with the aim of learning the rigorous application of the scientific method.


In this subject, the use of Artificial Intelligence (AI) technologies is allowed as an integral part of the development of the work, provided that the final result reflects a significant contribution of the student in the analysis and personal reflection. The student must clearly identify which parts have been generated with this technology, specify the tools used and include a critical reflection on how these have influenced the process and the final result of the activity. The lack of transparency in the use of AI will be considered a lack of academic honesty and may lead to a penalty in the grade of the activity, or greater sanctions in serious cases.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Access to an organization (either research-related or not) operating in the field of medicines (PEXT), once the proposal is approved by the Master’s officials. 375 15 1, 2, 3, 4, 5, 6, 7

Access to an organization (either research-related or not) operating in the field of pharmacology (PEXT), once the proposal is approved by the Master’s officials.


Use of Artificial Intelligence (AI): The use of AI technologies is permitted only for support tasks (such as information search, text correction, or translations) and in specific activities as indicated. Students must clearly identify the parts generated with AI, specify the tools used, and include a critical reflection on how these influenced the process and final outcome. Non-transparent use of AI will be considered a breach of academic integrity and may result in penalties.

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.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Continous avaluation 100% 0 0 1, 2, 3, 4, 5, 6, 7

The evaluation process includes continuous assessment by the study Director/Tutor, evaluation of the written report, and a presentation in front of a Committee.

Students who do not take both the theoretical and practical assessment tests will be considered \"Not Evaluable\", exhausting their rights to enroll in the subject.

This module does not provide for the single assessment system.


Any irregularity in an assessment activity —academic misconduct, plagiarism, or improper use of AI, unless such use is expressly authorised in the course guide— that may lead to a significant change in the mark shall result in that assessment activity being awarded a mark of 0. If the course guide establishes that obtaining a minimum mark in that assessment activity is an essential requirement for passing the course, or if several irregularities occur in the assessment activities of the same course, the final mark for that course shall be 0. In addition, disciplinary proceedings may be initiated against any student who commits any of these irregularities.

Bibliography

Established on a case-by-case basis depending on the nature and theme of the work.

Software

None in particular.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(PEXTm) Pràctiques externes i pràcticum (màster) 1 Catalan/Spanish second semester morning-mixed