Data Science and Business Analytics, full-time, second cycle programme (in English) (S2-PRK-DSBA)(in Polish: Data Science and Business Analytics, stacjonarne, drugiego stopnia (w języku angielskim)) | |
second cycle programme full-time, 2-year studies Language: English | Jump to: Opis ogólnyField of Study: Social Sciences Academic Discipline: Leading discipline – Economics and Finance Language of Instruction: English Professional Title Awarded Upon Graduation: Master in Data Science and Business Analytics Where and When You Will Have Classes Location: Time: Studies that change your perspective – Study at the Faculty of Economic Sciences, University of Warsaw Choose the Faculty of Economic Sciences at the University of Warsaw – a leader in economic education in Poland and one of the top research institutions in Europe.
General Information Become the expert the market is looking for – study Data Science and Business Analytics at the University of Warsaw! This is a modern, four-semester program taught entirely in English. It combines advanced knowledge in data science, statistics, machine learning, and economics with practical programming skills (Python, R, SQL, SAS) and the development of soft skills such as communication and decision-making in business environments. Double Degree – More Opportunities, Greater Prestige Thanks to cooperation with the University of Milan (Università degli Studi di Milano) , students have the unique opportunity to obtain two international Master’s degrees with funding from the NAWA Katamaran Program:
Students spend the first year at their home university (UW or UNIMI), and the second year at the partner university. This is not only a unique academic experience, but also a chance to grow in an international environment and build a global network of contacts. A Program That Combines Theory with Practice The program is built upon four strong pillars:
One of the key highlights of the program is the “Understanding Business” course, where students work on real business projects in collaboration with industry partners. This is an excellent opportunity to gain hands-on experience, face real-world challenges, and create data-driven solutions. Who is this program for? Data Science and Business Analytics is the ideal choice for students interested in data analysis in the context of economics, finance, business, or social sciences. What do you gain as a graduate? Our graduates are more than just data analysts – they are professionals who understand complex economic processes and know how to translate data into actionable business decisions. They are distinguished by:
The program also prepares students for academic careers – many graduates successfully pursue PhD studies in Poland and abroad. Your Career After Graduation Where do our graduates work? Everywhere data matters:
Thanks to their solid theoretical and practical preparation, Data Science and Business Analytics graduates easily adapt to the evolving demands of the labor market and are highly valued specialists worldwide. Tuition applies to all students; current fees are availablehere. Top-performing students may be eligible for tuition discounts. More information is available on the website. |
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Learning outcomes
The graduate of this specialization:
- knows and understands in-depth scientific theories in the field of economics, finance, statistics, econometrics, machine learning or programming and the methodology of scientific research in these areas;
- knows and understands the principles of managing intellectual property and information assets, including sources and databases;
- can use the knowledge of mathematics, operations research, statistical and econometric methods, machine learning, and data science to conduct highly specialized quantitative analysis of economic, financial, management issues, and issues of other fields;
- can use advanced IT tools, including selected programming languages from the S, Python, C, C ++, SQL or 4GL group, as well as selected analytical tools from the R, Python or SAS group;
- can combine theoretical knowledge with a comprehensive approach to data processing and analysis, taking into account the methodology of processing large data sets – "big data";
- can conduct research in the field of modelling (econometric, machine learning, time series forecasting, use of quantitative or actuarial methods) in relation to the challenges of planned work in analytical and research departments (financial, insurance, technological or industry institutions, and data-based services);
- can perform complex tasks using methods of acquiring, integrating, processing, and analyzing quantitative and structured as well as qualitative and unstructured data.
- can manage the work of the team, plan the development of themself and others, as well as prepare reports and communicate the results of independent analyses in English;
- can use English at B2 + level, including specialist terminology needed to work and conduct research in the area of Data Science;
- is prepared to critically evaluate the obtained research and analysis results;
- is prepared to plan and organize efficiently their own and teamwork, as well as to quickly self-educate and improve the acquired qualifications; and
- is prepared to follow professional ethical standards.