The Master aims to train students for financial institutions, businesses, and other public and private institutions that use the analysis and processing of data as decision support, as well as teachers and researchers. In this sense, it aims to develop the ability to integrate theoretical and empirical knowledge critically and creatively, and to familiarize students with various computer programs for quantitative analysis.
The Master is aimed at intending to complete, solidify, deepen and update the training of the first cycle in the areas of statistics, econometrics, time series and forecasting. It is a professional master of nature, providing an expertise which can culminate in a stage in the business sector. It is also intended for those who wish to enhance their prospects of a career and academic or research.
ACCESS QUALIFICATIONS AND SELECTION CRITERIA
Applications are considered national academic degree holders or equivalent foreign to the 1st cycle in the areas of economic and business sciences, social sciences in general, finance, mathematics, statistics and engineering. Are also evaluated other candidates deemed suitable by the scientific and pedagogical commission. Candidates are assessed based on the final rating of the 1st cycle, curriculum analysis and a possible interview.
The Master is organized into four semesters, totaling 120 credits. The first three semesters are fully satisfied with the curriculum component for a total of 78 credits, aiming to provide students with the skills necessary for a solid background in applied econometrics and forecasting. The fourth and final semester is devoted to the preparation of the final master's work (TFM) - dissertation, project work or training - a total of 42 credits (of which 12 credits are obtained in the 3rd semester).
Program taught in: