5 Statistics Degree Programs in Portugal

The Master's Degree Program in Statistics and Information Management, with a specialization in Data Analytics, aims to train experts and managers qualified to lead and guide information collection, compilation, analysis, and management inside organizations.

The Master's in Risk Management, at Universidade Nova de Lisboa, aims to train professionals and executives with the skills to address the challenges of identifying, assessing, and managing risk in the financial sector. This program evolved from the Risk Analysis and Management program, which is classified as the best Master's Degree in Risk Management in Portugal and the 2nd best in the World.

The course aims to provide specialized, solid and cohesive training in knowledge and practical skills in the application of statistical methods frequently used in the context of health sciences, clinical research and epidemiology

Excellence in advanced training Applied Mathematics, through research work on the theme of the frontier of athematical knowledge; Solid and deep scientific knowledge in the area of Ap. Mathematics to enrich the previous training of the student; Maturity of logical and abstract reasoning; - Independence and creativity in problem solving in mathematics and its applications; - Innovation in treating problems of mathematics and applications to other contexts. We have a PhD program in Applied Mathematics that pools the considerable human and material resources of the participating institutions, to provide a research based degree, internationally competitive, in such areas as Analysis and Optimization, Statistics and Probability, Dynamics and Geometry and Algebra, Logic and Computation. Also our curricular component is sufficiently flexible to accommodate the varied interests and backgrounds of potential students, and it is also useful for the development of specific and transverse skills

The Master on Data Science for Social Sciences prepare students to: i) collect, manipulate and analyze large amounts of structured and unstructured data; ii) address problem formulation and design solutions, using models or computational systems, for concrete needs of companies and institutions and emerging societal challenges; and iii) understand of socio-economic phenomena and their territorial expression and the adequacy of decision support tools in the process of formulating, implementing and evaluating public policies.