Degree | Type | Year |
---|---|---|
Zoonoses and One Health | OB | 0 |
You can view this information at the end of this document.
As a requirement to be admitted the student must possess one of the following degrees: Any degree in the field of Health Sciences (Veterinary, Medicine, Infirmary, Food Science, Animal Science, Animal Health, Public Health, Biomedicine, Psychology…) or Life Sciences (Biology, Biochemistry, Biotechnology, Bioinformatics, Zoology, Botany, Ecology, Biotechnology, Biodiversity, Agronomics, Environmental Sciences…) or similar.
Final Master Dissertation (TFM, from the Catalan Treball de fi de màster) will consist in a specific project related or linked with a research group, an institution, or a company where the student will be able to apply in a particular case the knowledges, abilities and aptitudes acquired during the master. TFM will be carried out under the supervision of a (there can be TFMs with more than one) director (generally, one of the professors of the Master) that will advise and help to solve the problems that the student will face during such process. Once the TFM is finished it will be presented and defended in a public session in front of a committee of evaluation.
TFM can be of different nature: experimental, bibliographic or based in an analyse of previously obtained data and it will have three stages:
this module, as the rest of the master, will be carried out in English.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Informative session | 1 | 0.04 | 7, 16 |
Preeliminary evaluation session | 2.5 | 0.1 | 4, 7, 9, 15, 16 |
Type: Supervised | |||
Tutorial | 15 | 0.6 | 5, 7, 9, 13, 16 |
Type: Autonomous | |||
Bibliographic research and paper reading | 40 | 1.6 | 11 |
Carrying out Works, practical duties and other activities | 210 | 8.4 | 2, 6, 5, 3, 7, 8, 10, 14, 12, 1, 17, 16 |
Cooperative learning | 30 | 1.2 | 6, 5, 7, 8, 14, 12, 1, 17, 16 |
Exposition and defense of the TFM | 0.75 | 0.03 | 4, 9, 15 |
Personal study | 40 | 1.6 | 2, 3, 7, 1, 17, 16 |
Writting the TFM dissertation | 35 | 1.4 | 15, 10, 13 |
Teaching methodology used will vary depending on the nature of each TFM. Basically we will follow the following steps:
Directed activities
Supervised activities
Autonomous activities
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.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Advisor's report | 30% | 0 | 0 | 2, 6, 5, 3, 7, 8, 10, 14, 12, 1, 11, 17, 16 |
Exposition and defense of the TFM | 21% | 0.75 | 0.03 | 4, 7, 9, 15 |
TFM written dissertation | 49% | 0 | 0 | 2, 6, 3, 7, 8, 10, 14, 13, 12, 1, 11, 17, 16 |
The Student must present a written dissertation that will be defended in a public session. The student’s advisor will present an evaluation report on the student’s performance that will suppose a 30% of the final qualification. The student must attend, at least, a 50% of the defenses of the rest of his/her colleagues to be considered apt to be evaluated If the written dissertation is not delivered in time or the student does not presents to the defense or he/she does not attend, at least, a 50% of the defenses of the rest of his/her colleagues, such TFM will be considered as “non evaluable”
Bibliography consulted will vary depending on the nature of each TFM
Software used will vary depending on the nature of each TFM (MSWord, MSExcell, R statistical software, etc.). We highly recommend the use of a Bibliographic Management Software, such as Zotero.
For this module, the use of Artificial Intelligence (AI) technologies is allowed in support tasks, such as bibliographic or information searches, text correction, translations, etc. 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.
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.