The PhD educational program involves both compulsory (C) and eligible (E) activities including short courses, seminars, lectures and practical activities.
For the PhD Course in Veterinary Science it is mandatory to attend the compulsory activities corresponding to 14 ECTS. Students are expected, and activities are directed to increase:
- skill in scientific English
- the ability to deal with database searching
- skills for experiment planning and statistical analysis
- the knowledge about research ethics and bioethics
- acquisition of generic/transferable skills
- the ability to disseminate scientific knowledge
The doctoral course in Veterinary Science offers the following teaching activities, most of which are provided during the first two years; some of these activities are in collaboration with the other doctoral courses resident in the Agripolis Campus.
A calendar for the Academic Year (2021-2022) is available here
A calendar for the current Academic Year (2023-2024) is available here
The activities could be divided into four fields:
A - Basic;
B - Soft skills: research organization and communication;
C - Research quantitative methods;
D - Individual learning activities;
S - Other seminars/courses
Compulsory activities for Vet Science PhD Students (first year: the students must attend 4 courses to be chosen from those lister below and the course "Health and Safety work"; second year: the students must attend the 4 courses not attendend during the first year):
- A. Basic Statistics (2 ECTS)
- A. Scientific Writing in English (4 ECTS)
- B. Introduction to Mendeley (1 ECTS)
- A. Health and Safety at work (NO ECTS) - On line course
- A. Biostatistic and Clinical epidemiology (2 ECTS)
- A. Basic data Analysis with R for Veterinary Science (1 ECTS)
- A. Evidence based veterinary medicine (0.5 ECTS)
- A. Ethics in scientific reasearch (2 ECTS)
- B. Dissemination of science: contents and tools (1.5 ECTS)
Eligible lectures (students can attend these lectures during all three years):
- A. Epidemiology, longitudinal data (1.5 ECTS)
- A. Applied Statistics with applications in R (2 ECTS)
- A. Advanced Statistics with R: Experimental design in lab and field (2 ECTS)
- A. Ethics and writing and reviewing (0.5 ECTS) B. Data collection: from Questionnaires to Participatory approaches (ECTS)
- B. English language and Italian language for foreigners (NO ECTS)
- B. How to present a scientific paper (0.5 ECTS)
- B. How to prepare a scientific paper (1 ECTS)
- C. Introduction to GIS (1 ECTS)
- C. Spatial Statistics (2 ECTS)
- C. Introduction to Network analysis (2 ECTS)
- C. Introduction to programming in Python (2 ECTS)
- S. The impact of ANVUR on teaching and research activities (0.5 ECTS)
- S. Acorrent medical approach to the use of laboratory animals. Choice of species, specific characteristics and animal welfare (0.5 ECTS)
- S. Ethics (title to be difined) (0.5 ECTS)
