Bachelor studies Quantitative Methods in Economics and Information Systems

Why study Quantitative Methods in Economics and Information Systems at SGH?
Atuty kierunku

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. 

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 
  • Methods of Decision Analysis
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

2000 EUR per semester

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