Bachelor studies Quantitative Methods in Economics and Information Systems

The first-cycle studies in Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics provide basic knowledge in the field of economics, management and finance as well as the canon of knowledge related to quantitative methods in economics and information systems. The studies also include practical courses in the area of statistical and econometric analyses, decision-making, information technology and demography. 

Candidate’s profile

We assume that candidates for the MIESI program have knowledge of mathematics and probability theory at the secondary school level. If you completed your secondary education some time ago, it is advisable to review this material to avoid difficulties in keeping up with the classes. At the undergraduate level, we teach statistical methods and business informatics from the ground up, as well as other more technical subjects, including econometrics, financial and insurance mathematics, information systems design, and operations research models. Prior knowledge of programming in any language may make the initial stages somewhat easier, but familiarity with any specific programming language is not assumed.

Career prospects

This programme helps to develop competences required for jobs in business entities and organisations which actively apply mathematical, statistical, econometric and information tools or useful for running own business.  It can also provide a sound theoretical and methodical foundation for enrolment into second cycle programmes.

Specialisations

Econometrics

This specialization is designed to equip you with the practical tools needed to confidently build, test, and interpret econometric models across a wide range of applications—from modern economics and finance to the broader social sciences. Through hands-on learning and real-world examples, you will see how econometric methods are applied in practice to solve meaningful problems. Our courses emphasize empirical analysis, and our lecturers bring both expertise and enthusiasm to the classroom, sharing their knowledge and professional experience to help you develop skills that are highly valued in today’s data-driven world.

Methods of Decision Analysis

This specialization prepares students to play an active role in decision-making processes in their future careers. You will learn how to apply analytical tools in practice to support and improve decision-making at every stage. The courses offer a comprehensive perspective on decision-making—from understanding the mechanisms of choice and the behavioral and psychological factors that shape decisions, through risk assessment, to comparing alternative options and selecting the optimal solution. Above all, the specialization equips you with highly valued skills in data analysis and quantitative methods, enabling you to make informed, evidence-based decisions in a wide range of professional contexts.

Mode and duration of study

Mode of study: full-time

Duration: 3 years (6 semesters)

Admissions and tuition

Admissions

The application and admissions procedure has the following stages: 

• registration in the online system,
• submission of required documents,
• end of submission of documents period,
• verification of documents by SGH,
• issuing decisions on admission,
• information about registration for classes sent by Bachelor Dean’s Office (in the registration system).

More information can be found here: 

application and admissions procedure for foreigners 

application and admissions procedure for Polish citizens​

Tuition

2500 EUR (for one semestr) or 2550 EUR (for one semester, payment in installments, one installment 510 EUR)

Benefits

The graduate of the first-cycle studies in the field of Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics: 

Knowledge

• knows basic theories and their applications related to the following educational content: mathematics, in particular mathematical analysis and linear algebra; probability theory and mathematical statistics; research design and statistical analysis; demography; mathematical economics; econometrics; operational research; finance and insurance mathematics; computer programming; design of information systems; databases,
• knows mathematical, statistical and econometric methods and tools necessary to analyse economic and social phenomena on a micro- and macroeconomic scale, 

Skills

• is able to solve macro- and microeconomic problems with the use of various analytical tools, including modern information technologies,
• understands and knows how to use the tools of mathematical analysis in econometrics and information technology,
• is able to use linear algebra in statistics, econometrics and mathematical decision-making models, as well as to design and conduct statistical research, 

Social competencies

• demonstrates flexibility, independence of thought and rationality, constituting the basis for decision making processes in various economic entities and organisations,
• understands the need for a quantitative approach to improve the perceptionive, descriptionbe and analyse the surrounding economic, social and business reality,
• displays professional responsibility at work, in business entities and institutions in which it is required to use mathematical, statistical, econometric and IT tools.

The list of learning outcomes and programs for the first and second cycle programs at SGH:

The full list of learning outcomes

Programs for the first and second cycle programs at SGH 2026/2027