Master in Computer science

This master's programme in Big Data Analytics is offered by Wrocław University of Science and Technology in Wrocław, Poland, taught in English over 3 semesters, with yearly tuition of EUR 4000. Graduates gain in-depth knowledge across physics, computer science, and mathematics, drawn together to model and solve problems connected with analyzing large information resources. The curriculum covers the main directions of research in Big Data Analytics, complex systems theory, and statistical physics, and builds skills in using IT tools and technologies to process large volumes of data, applying methods from the physics of complex systems to study and model the information being analyzed, and designing an adequate model of an observed dynamic phenomenon and verifying it against empirical data. Graduates are prepared to work in the growing market for statistical analysis of large data sets, with the aim of uncovering hidden patterns, market trends, customer preferences, and similar insights. The first semester's obligatory courses include Introduction to Complex Systems, Elements of Probability, Programming and Classification, Stream Programming, Statistical Physics, and Advanced Topics in Algebra. The second semester covers Complex Systems Theory and Practice, Differential Equations, Functional Programming, Big Data Algorithms, and Nonlinear Dynamics. The third semester is built around a diploma seminar and the MSc thesis. Supplementary courses include Time Series Analysis, Machine Learning, and monographic lectures on related topics. Graduates of programmes in this area typically move into roles such as data scientist, data analyst, or big data engineer, applying statistical and computational methods to large, complex data sets across finance, technology, and research settings.