Estudar Matemática e Ciência de Dados na Europa

This program in mathematics offers three specialization tracks: General Curriculum, Didactics, and Advanced Mathematics for Applications. The General track emphasizes core and advanced mathematics such as algebra, geometry, probability, and numerical analysis. The Didactics track is tailored for future educators, combining mathematical theory with pedagogy, history of mathematics, and psychology. The Applications track integrates advanced analysis with computational methods and interdisciplinary fields like data science and quantum computation. All paths involve elective choices, internships or research activities, and a final thesis project, allowing for academic flexibility and specialization.

Admission to this mathematics program requires an undergraduate degree or a recognized equivalent from abroad. Applicants must either hold a degree in mathematics or physics or demonstrate sufficient academic background with at least 48 ECTS in mathematics-related areas and 12 ECTS in physics, informatics, or engineering-related subjects. Admission also includes an individual assessment of the applicant’s competencies. Proficiency in English at CEFR level B2 is mandatory and can be demonstrated through certifications, university transcripts, or language tests. Non-native Italian speakers must also meet Italian language requirements through testing or recognized certification. EU students typically pay around €1,200/year based on family income. Non-EU students usually pay a fixed fee of about €1,400/year. Check with the university for your exact fee.

This master’s program combines courses in data analysis, informatics, statistics, and social science to prepare students for analyzing complex societal phenomena. Core subjects include machine learning, data ethics, critical inquiry, and computational statistics. Students also explore topics like economic complexity, applied network science, and causal inference. The curriculum includes elective modules such as survey analytics, geography in data science, and big data applications. A two-part thesis consultation supports students in preparing their final research projects. This program is ideal for students seeking to bridge data science with the social scienc

Applicants must complete a two-part admission process: a written exam (Type A) worth 60 points, assessing language proficiency, quantitative analytical skills, and logical reasoning; and an oral interview worth 30 points, focusing on the applicant’s motivation and aptitude for the program.

This Master’s program focuses on business intelligence, data mining, data governance, and digital transformation, providing students with the tools to manage and analyze complex data for strategic decision-making. Core courses include Business Intelligence I & II, Data Mining I & II, and Data-Driven Decision Making, while electives offer a broad range of options from cybersecurity and CRM systems to innovation management and generative AI. Students must complete a dissertation or work project alongside research methods training. The program is designed for those interested in combining data science with business strategy and technology management.

To apply for the Master’s in Information Management, candidates must hold a Bachelor’s or Master’s degree in a compatible field such as Information Systems, Computer Science, Data Science, Engineering, Mathematics, Statistics, Business Analytics, or other quantitative or technology-oriented areas. Applicants from fields like Economics or Management may also be considered if they demonstrate a strong analytical or technical background. In addition, candidates must show strong proficiency in English (spoken and written), a high level of motivation, and a record of academic or professional excellence.

This Bachelor's program in Statistical Sciences focuses on equipping students with a solid foundation in statistical theory, data analysis, and mathematics. It belongs primarily to the fields of Mathematics, Statistics and Data Science and Social Sciences. The curriculum includes core subjects such as probability, statistics, demography, econometrics, and informatics, with advanced courses in multivariate analysis, environmental statistics, and statistical methods for economics. Students can specialize further through electives in computational statistics, data analysis, or language studies, and practical learning is encouraged via internships and labs. The program emphasizes both theoretical understanding and applied skills in quantitative research and data interpretation.

To be eligible for this Bachelor's program in Statistical Sciences, applicants must hold a secondary education diploma from a five-year upper secondary institution or a four-year specialist program, with certain cases requiring additional learning at the university. International qualifications must align with Italian regulations and international agreements. Admission also requires taking the English version of the CISIA TOLC-E test, designed to assess initial competencies in reasoning, text comprehension, and mathematics through a personalized 90-minute online test. The Italian version of the TOLC-E is not accepted for this program.