Quantitative Methods in Economics and Information Systems

Quantitative Methods in econoMics
and inforMation systeMs
Bachelor studies
“I’m looking forward
to graduating from
the Warsaw School of
Economics, because
this is an university of
great opportunities”
Meselson Ezequiel Satumbo Pena
Quantitative Methods in econoMics
and inforMation systeMs
Bachelor programme in the area of Quantitative Methods in Economics and
Algebra
Information Systems (QMEIS) will provide students with fundamentals of
Calculus
economics, finance and management as well as with the set of analytically
Probability Theory
oriented courses in information and management sciences. Based on the
Demography or Mathematical Economics
core courses two specializations – Econometrics and Decision Analysis
Deterministic Operations Research Models
Methods will be offered, enabling creation of professional profile of
Econometrics
innovative and creative analyst.
Business Information Systems
Graduates will be prepared to wise use of quantitative analyses supported
by computers in solving decision problems in complex managerial global
Financial and Insurance Mathematics or Information System Design
Survey Methods and Statistical Analysis
environment.
SpECIalIzatIon CourSES:
CorE CourSES:
A. Econometrics
International Economics
Time Series Analysis and Forecasting
Philosophy or Sociology
Financial Econometrics
Finance
Applied Econometrics or Econometric Theory
Economic Geography or Economic History
Econometric Modeling in Microeconomics
European Integration or Theory of State
Macroeconomics
B. Decision Analysis Method
Mathematics
Decision Rules
Microeconomics
Optimization Methods
Basics of Law
Simulations in Spreadsheets
Economic and Social Policy
Econometric Modeling in Microeconomics
Accounting
Statistics
Introduction to Business Information Systems
Management
Contact:
[email protected], +48 22 564 98 58
Bachelor
Quantitative Methods in Economics and Information Systems (QMEIS)
is 3-year programme providing 180 ECTS points.
FEE: Eur 2,000 pEr SEMEStEr
www.sgh.waw.pl/admission/