Statistical Modeling and Data Analysis

Master Degree

Course Overview

This Master's is aimed at professionals and researchers from various areas (Biology, Health, Environment, Economics, Engineering, Business, Social Sciences, Exact Sciences) who wish to acquire/deepen their knowledge of statistical methodologies and their applications. Its main objectives are: To provide a solid training in statistics with a strong application component, necessary for the performance of a professional activity, possibly integrated in multidisciplinary teams, or for the continuation of studies. To allow professionals, researchers and possible interested parties from different areas, to deepen their statistical knowledge for use in their professional or scientific life. Provide methods and techniques of statistics appropriate for solving real problems. Open research perspectives in different areas of Probability and Statistics. Promote employability, innovation and statistical training of the Portuguese population.
Organic Unit: School of Science and Technology
Duration: 4 Semesters/120 ECTS credits (36 required and 30 optional in curricular units)
Language: Portuguese
Regime: Day and night classes

Career Prospects

Banks; Insurance Companies; Hospitals; Research Institutes; Market Research Companies; National Institute of Statistics; Local and Central Government Administration; Companies with a Department of Statistics and Data Analysis (among others).

Specific Entry Requirements

Candidates must have a higher education degree, at least at a 1st cycle level. Candidates must have completed at least one course unit in Probabilities and Statistics.

Access Routes and Applications

Tuition Fees

Annual Tuition Fees

Students from EU countries
1050.00 €
International Students
2500.00 €
International Students with Merit Scholarships
1050.00 €
International Students with Cooperation and Development Grants
1250.00 €

Course Committee

Do you want an academic experience in another national or international higher education institution?

Get to know the programs, the partner institutions where you can do a period of mobility.

Timetables

Academic Year: 2022/2023

Documents

Contact Information

Director: Anabela Cristina Cavaco Ferreira Afonso [aafonso@uevora.pt]

Academic Manager: Carolina Camarinhas
Academic Services (online): SAC.ONLINE