Data Science for Economics

Course overview: The master's degree program in Data Science for Economics aims to provide advanced training on information technology, quantitative and methodological methods and tools for interpreting and analysing complex phenomena in the sectors of economics. The course of study offers methodological skills of statistics and mathematics, economic theory, theory of decisions in conditions of uncertainty, micro-econometrics techniques and analysis of time series, as well as advanced competences on coding, new information technologies for data management and scalability of analysis systems in cloud environments, as well as automatic learning techniques for information extraction and classification. In the training course there are laboratories, partly carried out by companies, to develop a greater aptitude for problem solving among students and make them aware and reactive to the challenges of the labour market. Data Science for Economics graduates, given the multidisciplinary nature of their methodological-technical and practical training, can be included in various work sectors: small, medium and large companies and research centres operating in the information processing sector, companies and public bodies involved in the management of large amounts of data, research and development laboratories, public and private, innovative start-ups, health companies, biomedical and pharmaceutical industries, consulting companies. Duration: 2 years Access modality: Free access with entry requirements valutation Degree class : LM-Data - DATA SCIENCE Study language: English