Изучайте Математика и Data Science в Европе

This program offers three specializations: Data Science, Official Statistics, and Health and Population Analytics. All tracks provide rigorous training in statistical modeling, computational tools, and data analysis techniques. Students explore fields such as supervised learning, Bayesian inference, big data analytics, socio-demographic statistics, public health, and statistical software. Each path includes mandatory coursework, a range of elective modules, internships or thesis options, and training in statistical programming languages. The curriculum integrates applied statistics with real-world data science and research applications across social and health domains.

To access this program, candidates must hold a degree in statistics or a related field, or demonstrate sufficient prior coursework in probability, statistics, and mathematics. The curriculum focuses on quantitative methods for data analysis and interpretation, blending mathematical and statistical theory with applications in economics, actuarial science, and data-driven decision-making. Core topics include probability, econometrics, financial and actuarial mathematics, and risk modeling. Students may also pursue electives in areas like programming and data science, and complete a final research project or internship. 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 offers an applied approach to mathematics while ensuring a solid foundation in abstract theoretical methods. It prepares students to tackle real-world problems in areas such as science, engineering, data science, and finance. The curriculum includes courses in data science, optimization, numerical methods, and stochastics, and promotes interdisciplinary collaboration with students from related fields such as computer science, artificial intelligence, physics, and engineering. A distinctive feature is the flexibility to choose electives from economics or science and engineering disciplines, allowing students to tailor their studies to their career goals. Language courses are also available to boost employability, especially in international settings.

To apply for this master's program, candidates must hold a relevant academic degree equivalent to a bachelor's in mathematics or business mathematics, with comparable content to those offered at the university. English language proficiency must be demonstrated through an accepted certificate, with minimum scores including a TOEFL iBT of 79, an IELTS Academic of 6.0, a Cambridge Certificate level B, or UniCert Level II. Certificates indicating English as the medium of instruction are not accepted. However, applicants holding a German university entrance qualification may use their Abitur certificate as proof of English proficiency.

This Master's program offers a highly flexible and specialized curriculum through a range of focused Areas of Expertise. Students can tailor their studies toward key fields such as Sustainability, Business and Data Analytics, International Development, Macroeconomics and Financial Markets, Public Policy, and Banking and Financial Regulation. Core training includes advanced micro- and macroeconomics, econometrics, and career development, while electives cover topics like machine learning, climate finance, health economics, blockchain, and political economy.

Applicants to the Master's programs must have completed their studies at an accredited or officially recognized institution in their home country. Since all academic activities are conducted in English, candidates must provide proof of English language proficiency at a B2 level or higher when applying. Portuguese is not required for life on campus. These programs are primarily designed for candidates with up to two years of professional experience, typically aged 23–24, though older applicants who align with the program's profile may also be considered.

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.