Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for future freshmen who will enroll for the 2026/2027 academic year.If you are already enrolled in this course of study, consult the information available on the course page:
Combined Bachelor's + Master's degree in Pharmacy - Enrollment until 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year It will be activated in the A.Y. 2027/2028
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3° Year It will be activated in the A.Y. 2028/2029
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4° Year It will be activated in the A.Y. 2029/2030
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5° Year It will be activated in the A.Y. 2030/2031
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Statistics and methods for drug research (It will be activated in the A.Y. 2029/2030)
Teaching code
4S011737
Credits
6
Scientific Disciplinary Sector (SSD)
MEDS-24/A - Statistica medica
Learning objectives
The course aims to introduce the student to the elementary principles of quantitative research in the biomedical field, providing knowledge and skills in the fields of biostatistics, epidemiology, and computer science applied to the analysis of biomedical data. The course will focus on the main study designs aimed at evaluating the safety and efficacy of drugs, both in an observational and in an experimental context.
Also through the use of the Microsoft Excel spreadsheet, the student will learn to: evaluate the precision, accuracy and validity of a measuring instrument/diagnostic test; construct and interpret frequency tables and graphical representations of individual data relating to biological phenomena; conduct statistical tests for the comparison between two averages or proportions; estimate the effect of a treatment and interpret its confidence interval; estimate the relationship between two quantitative biological variables by correlation analysis and linear regression; assess and calculate the relative risk associated with a given exposure.