Faculty of Informatics and Statistics, University of Economics in Prague

The Faculty of Informatics and Statistics (FIS VŠE), also known as the School of Informatics and Statistics, is the fourth of six faculties at University of Economics, Prague. The faculty was established in 1991, following the dissolution of the Faculty of Direction. Its academic focus is informatics, statistics, econometrics and other mathematical methods applied to business practice. The faculty has eight departments and several research laboratories, and hosts around 3,500 students across its programs.[2]

Faculty of Informatics and Statistics
TypePublic
Established1991
Deandoc. RNDr. Luboš Marek, CSc.
Students3377[1]
Location,
50.0842147°N 14.4411958°E / 50.0842147; 14.4411958
Websitefis.vse.cz

Departments

Departments of the faculty include:

  • Department of Demography (Czech: Katedra demografie; KDEM)[3]
  • Department of Econometrics (Czech: Katedra ekonometrie; KEKO)[4]
  • Department of Economic Statistics (Czech: Katedra ekonomické statistiky; KEST)[5]
  • Department of Information and Knowledge Engineering (Czech: Katedra informačního a znalostního inženýrství; KIZI)[6]
  • Department of Information Technologies (Czech: Katedra informačních technologií; KIT)[7] Research activities of the department focus on methodologies for development, operation and management of information systems.[8]
  • Department of Mathematics (Czech: Katedra matematiky; KMAT)[9]
  • Department of Statistics and Probability (Czech: Katedra statistiky a pravděpodobnosti; KSTP)[10]
  • Department of Systems Analysis (Czech: Katedra systémové analýzy; KSA),[11] focusing on the application of principles of systems methodology and systems thinking into the fields of information systems, and business and management. Its main areas of research interest include: implementation of information systems within an organization, information management, strategic planning and business reengineering.[12]
  • Laboratory for Intelligent Systems (Czech: Laboratoř inteligentních systémů; LISP)[13]

Academics

The faculty offers Bachelor, Master and doctoral study programs.

Bachelor programs

Bachelor study programs are 3 years in length and conclude with a Bachelor State Examination and defence of a Bachelor thesis. Bachelor theses usually focus on practical topics.

  • Informatics
  • Statistics and Econometrics, a course focusing on statistics, various methods bordering economics and mathematics, econometric and mathematical modelling and informatics.
  • Mathematical Methods in Economics, a program focusing on quantitative methods, and the inter-related fields of economics, business economics and mathematical methods.
  • Statistical Methods in Economics, a program focusing on applying statistical methods to real economics.
  • Socio-economic demography, a study program focused mainly on reproduction of human resources and human capital, covering topics from demography to social and economic policy.

Master programs

Masters programs end with a Final State Examination and defence of a thesis. Available subjects are divided into Major and Minor:

Major

  • Information management
  • Information systems and technologies
  • Knowledge engineering
  • Cognitive informatics
  • Econometrics and operations research
  • Insurance engineering
  • Economic demography

Minor

  • Analysis of socio-economic data
  • Demographics and social analysis
  • Informatics in business
  • Intelligent systems
  • Orientation in information society
  • Quantitative methods in management
  • Insurance engineering
  • Presentation and communication of information

Doctoral programs

Doctoral programs are usually at least three years long and conclude with the defence of a PhD thesis. Programs offered include Informatics, Econometrics and Operations Research, and Statistics.

Academic cooperation

The faculty cooperates with several academic and non-academic institutions, including Czech Technical University in Prague, Academy of Sciences of the Czech Republic, Czech Statistical Office, and a number of foreign universities.

References

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