Statistics for Health

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

979

Cicle

Master (2nd Cycle)

Mestre

Coordinator

Isabel Cristina Maciel Natário

Available soon

30

Fees

Portuguese students: 2000 € (1st year); 1000 € (2nd year)

Foreign students: 2000 €/year

Daytime

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Degree pre-requisites

Duration: 2 years
Credits:
120 ECTS

 Scientific Area Acronym ECTS Mandatory Optional Statistics Est 82 0 Applications Apl 14 0 Free Option or Applications OL ou Apl 0 12 Free Option or Statistics or Applications OL ou Est ou Apl 0 12 TOTAL 96 24

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Evaluation rules

The evaluation of all UCs is continuous for all the components that integrate it, and it must be completed by the last day of the school term of the academic semester.

The continuous evaluation of a UC must include a minimum of three elements in the set of evaluation components, on dates adequately spaced throughout the period of classes.

All UCs with a theoretical-practical evaluation component must provide, in addition, a form of evaluation of this component by exam, to be carried out after the period of classes (Examination of Appeal).

All requirements and conditions related to the evaluation of the UC, namely the minimum weights and classifications, if any, of each component, as well as the Frequency conditions, are defined a priori and, mandatorily, published in the Discipline Form.

For each UC, combinations of three evaluation components are allowed: (i) Theoretical-practical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.

The final Dissertation (or Project) involves a public discussion with a Jury.

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 Planning 4.0
12017 Health Operations Management 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 Basics of Programming in R 2.0
12018 Generalized Linear Models and Applications 6.0
2.º Semester - Opção II
Code Name ECTS
Options
12398 Health Assessment 4.0
12399 Bioinformatics 4.0
12020 Nonparametric and Computational Methods 4.0
12400 Free Option 4.0
3.º Semester
Code Name ECTS
12021 Biomedical Statistics 4.0
12403 Club Journal in Statistics fos Health 8.0
12402 Research Seminar 10.0
12022 Advanced Topics in Statistics: Time Series 4.0
3.º Semester - Opção III
Code Name ECTS
Options
12023 Computational Numerical Statistics 4.0
12400 Free Option 4.0
12401 SIGs and Health 4.0
4.º Semester
Code Name ECTS
12419 Dissertation 30.0