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Statistics and Data Science

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What is the objective of the course? What is it?
What does it train you for?

The Master's Degree in Statistics and Data Science has as its main objective the higher education of statisticians with high competence in data management and analysis.

The Course integrates the LM82 statistical class and the LMDATA data science class, also offering two curricula, one of which is entirely in English.

The master's graduate from the Course will have competence and responsibility in acquiring, organizing and processing large datasets in order to extract information and support decision for the organizations, he will be able to work with IT technologies and advanced programming languages, as well as he will possess a solid base of knowledge, skills and abilities in advanced statistical analysis methods and techniques and in specific statistical and non-statistical software.

The graduate in the Master's Degree in Statistics and Data Science will possess high skills in the management, modeling, analysis and statistical interpretation of data, with the ability to provide solutions to complex problems using the appropriate computer-statistical techniques and methods in all possible application areas of statistics (economic, financial, health, medical, environmental, etc.).

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What do you learn?

In the Master's Degree in Statistics and Data Science, students will learn to produce, extract, and analyze information and data to support management activities in the social, healthcare, epidemiological, environmental, economic, financial, and business fields, through - for example - skills in: quality and performance management. sampling for opinion polls; statistical models for forecasting and analysis of financial, insurance, environmental and healthcare risk; design, creation, and management of databases; design and management of experimental analysis and clinical trials; management of geographic information systems; analysis of the economic and social context; statistical analysis of the market and company balance sheet; techniques and tools for epidemiology and biological data analysis; methods and tools for cloud computing and data analytics; languages and software for advanced statistical programming for complex data; big data methods with applications in various contexts.

These skills are also obtained thanks to the presence of two curricula and a high degree of customization of the study plan with a large number of specialized subjects among the optional ones.

Internships/traineeships and/or consultancies in Italy and/or abroad are planned and can also be useful for completing the degree thesis.

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What can you do with it?

The graduates in the Master's Degree in Statistics and Data Science are and will be highly sought after by the job market: the management and analysis of large amounts of data are transversal activities of fundamental importance in many applied sectors as highlighted by companies and experts.

The statistician with high competence in data science will therefore be able to carry out tasks of analysis of health, social, economic, business and financial data with forecasting, planning and decision making in public, private and research contexts, as well as in the field of official statistics and will be able to work both in research centers and in companies of various disciplinary fields both in Italy and abroad with reference to application contexts in the economic, business, financial, biological, health, epidemiological areas, database management, planning of surveys and statistical research, production and dissemination of data including official public statistics.

The graduate will therefore be able to cover roles as statistical manager in private and public companies, with responsibility for complex data analysis, as well as carry out consultancy activities on the topics of analysis and management of information and data analysis and deal with statistical programming.