Estatística para a Saúde
Education objectives
The Master in Statistics for Health aims to train people with knowledge and theoretical skills in statistics and with the necessary practical skills to apply correctly the most commonly used statistical methods in health sciences area and in medical and epidemiological research.
This Master gives students the statistical knowledge that enable them to solve adequately health area problems, namely toselect the most suitable study design to be performed in face of a certain research problem; to use the most appropriate statistical techniques to analyse the different types of variables; to describe the hypotheses and assumptions associated with each statistical technique, identifying and avoiding the most common errors in the application of those techniques; to correctly apply and interpret the results of the statistical analyses, understanding how far they allow to answer/clarify the research questions; to manage and analyse complex and huge data bases, namely in what concern data cleaning, codification and storage; to critic evaluate the statistics performed in the context health area literature; to apply the principles, the requirements and the norms of the good practices of scientific research.
General characterization
DGES code
979
Cicle
Master (2nd Cycle)
Degree
Mestre
Access to other programs
Access to a 3rd cycle
Coordinator
Isabel Cristina Maciel Natário
Opening date
Available soon
Vacancies
30
Fees
Available soon
Schedule
Available soon
Teaching language
Available soon
Degree pre-requisites
Duration: 2 years
Credits: 120 ECTS
Mandatory scientifc areas
Scientific Area | Acronym | ECTS | |
Mandatory | Optional | ||
Statistics |
Est | 82 | - |
Applications | Apl | 14 | - |
Free Option or Applications | OL ou Apl | - | 12 |
Free Option or Statistics or Applications | OL ou Est ou Apl | - | 12 |
TOTAL | 96 | 24 |
Conditions of admittance
Available soon
Evaluation rules
Available soon
Structure
1.º Semester | ||
---|---|---|
Code | Name | ECTS |
12394 | Regression Analysis and Applications | 6.0 |
12391 | Biostatistics, Principles and Applications | 6.0 |
12393 | Epidemiology | 4.0 |
12392 | Statistical Inference | 6.0 |
1.º Semester - Opção I | ||
---|---|---|
Code | Name | ECTS |
Options | ||
12395 | Demography, Prospective and Panning | 4.0 |
12017 | Gestão de Operações em Saúde | 4.0 |
12400 | Free Option | 4.0 |
2.º Semester | ||
---|---|---|
Code | Name | ECTS |
12397 | Longitudion al Data Analysis | 6.0 |
12396 | Multivariate Data Analysis | 4.0 |
12019 | Fundamentos de Programação em R | 2.0 |
12018 | Modelos Lineares Generalizados e Aplicações | 6.0 |
2.º Semester - Opção II | ||
---|---|---|
Code | Name | ECTS |
Options | ||
12398 | Health Assessment | 4.0 |
12399 | Bioinformatics | 4.0 |
12020 | Métodos Não Paramétricos e Computacionais | 4.0 |
12400 | Free Option | 4.0 |
3.º Semester | ||
---|---|---|
Code | Name | ECTS |
12021 | Estatística Biomédica | 4.0 |
12403 | Club Journal in Statistics fos Health | 8.0 |
12402 | Research Seminar | 10.0 |
12022 | Tópicos Avançados em Estatística: Séries Temporais | 4.0 |
3.º Semester - Opção III | ||
---|---|---|
Code | Name | ECTS |
Options | ||
12023 | Estatística Numérica Computacional | 4.0 |
12400 | Free Option | 4.0 |
12401 | SIGs and Health | 4.0 |
4.º Semester | ||
---|---|---|
Code | Name | ECTS |
12419 | Dissertation | 30.0 |