Bachelor in Quantitative methods in economics and information systems

For Bachelor in Quantitative methods in economics and information systems, tuition costs 4,673 USD per year.

SGH Warsaw School of Economics offers a bachelor's programme in Quantitative Methods in Economics and Information Systems (QMEIS), delivered in English over six semesters in Warszawa, Poland, with a yearly tuition of EUR 4000. The programme combines a foundation in economics, finance, and management with analytically oriented coursework in information and management sciences. Students build a professional profile as analysts able to apply quantitative methods to decision problems in complex, global managerial settings, drawing on statistical and econometric analysis, decision-making tools, information technology, and demography. Within the field, students choose between two specialisations: Econometrics and Decision Analysis Method. One track emphasises quantitative methods in economics, while the other focuses on information technology applied to economic questions. Both share a common core covering the basics of economics, management, and finance alongside the canon of quantitative methods used in economic analysis and information systems. Graduates of QMEIS are prepared for roles in business entities and institutions that rely on data-driven decision-making, including positions in analytics, econometric modelling, and information-systems management. The skills built here, statistical reasoning, computer-assisted analysis, and structured problem-solving, apply broadly across finance, consulting, and technology sectors, reflecting demand for professionals who can turn large volumes of information into usable business insight. Running six semesters at a yearly tuition of EUR 4000, the programme sits within SGH's standing as one of Poland's established economics institutions, giving students exposure to a capital-city academic and business environment in Warszawa alongside their formal coursework in quantitative economic and information methods.