Master in Statistics for Health


Master in Statistics for Health


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.


Career opportunities

In the case of this Master, offered after working arrangements, it is believed that many students are already employed. This course will allow them to give a different orientation to their career in an area considered the most attractive of the current labor market. Graduates of this course are likely to work as biostatisticians, epidemiologists and data analysts in any institution of health care, epidemiologists, researchers and lecturers in biostatistics and epidemiology. In addition, and because the course program is in line with other offered in Europe, graduates may also apply for jobs in the international market, for example, non-governmental organizations, international agencies and educational institutions.


Offered after working arrangements, using wherever possible eLearning platforms and streaming system (webinars)

Tuition fee:

1st year: 2000 Euros; 2nd year: 1000 Euros


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Entrance requirements for the 2018/2019 academic year

Admission rules:

a. Holders of a 1st degree (licenciado or legal equivalent) in the areas of Exact Sciences, Health Sciences or related areas, with basic mathematical notions; 

b. Holders of a foreign higher degree confered after a 1st cycle of studies organized in the above areas, in accordance with the principles of the Bologna Process by a State adhering to this Process;

c. Holders of a foreign higher academic degree, in those areas, that is recognized as meeting the objectives of the degree of licenciado by the Scientific Councils of the Faculty of Sciences and Technology and of the Instituto de Higiene e Medicina Tropical; 

d. Holders of an academic, scientific or professional curriculum recognized by the Scientific Committee of the programme, as testifying the ability to carry out this programme.


- Course Classification;

- Academic and scientific curriculum;

- Professional curriculum;

- Possible interview

Course coordinator:

Coordinator FCT: Professora Isabel Natário (Departamento de Matemática)

Coordinator IHMT: Professora Maria do Rosário O. Martins

About the Department of Mathematics

The Department of Mathematics is responsible for one undergraduate course (1st cycle of study) two graduate courses (2nd cycle of study) which award a master’s degree, two postgraduate courses (3rd cycle of study) which award a doctorate degree, a one year post-graduate course and other short courses. The department academic staff also cooperates in other courses of all qualification levels taught at FCT NOVA.

The scientific activity of the majority of the faculty members of the Department of Mathematics is developed at the Center for Mathematics and its Applications (CMA). Its research work covers four major areas: Algebra, Differential equations and Numerical Analysis; Operational Research, Statistics and Risk Management. CMA is integrated into the Faculty of Science and Technology of the New University of Lisbon and is financed by the Foundation for Science and Technology. In addition to the researchers of the Department of Mathematics, this center has the collaboration of many researchers belonging to several Portuguese and foreign universities. In the last evaluation that have been done by the Foundation for Science and Technology, CMA has obtained the classification of Very Good. The other members of this Department develop its scientific activity integrated in other research centers or autonomously.

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