Master's Degree in Statistics in Prague in Czech Republic

View Masters Programs in Statistics 2019 in Prague in Czech Republic

Statistics

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

The MSc in Statistics allows students to learn about the statistics applicable to the social sciences, econometrics and finance. The program prepares students for careers in industries that demand statistical skills.

Czech Republic is in the heart of Europe is a neighbor of Slovakia, Austria, Germany, and Poland. Czech universities offer long-standing reputation and interesting specializations.

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Master in Official Statistics

University of Economics Prague - Faculty of Informatics and Statistics
Campus Full time 2 years September 2019 Czech Republic Prague

New graduate degree program (2 years/120 ECTS, full-time, fully taught in English) at the Faculty of Informatics and Statistics (FIS), University of Economics, Prague (VŠE). [+]

www.mos.vse.cz

New graduate degree program (2 years/120 ECTS, full-time, fully taught in English) at the Faculty of Informatics and Statistics (FIS), University of Economics, Prague (VŠE).

Master in Official Statistics (MOS) provides students with an advanced training in specific themes of statistics in general or official statistics.

Graduates who have successfully completed MOS will be able to demonstrate knowledge about:

the system of official statistics, data production models and methods, statistical, econometrical and demographic methods and basic IT tools.

The main objective of MOS is to enhance the abilities of students to understand national and European official data (quality, production process, dissemination) and to analyze them in a national, European and international context using statistical, demographic and econometrical methods.... [-]