Economic Data Analysis
The aim of this master programme is to provide students with knowledge and abilities in the area of economic data analysis. This covers many topics related to data acquisition, data processing, data dissemination and communication, data analysis including advanced statistical and econometric modelling and working with specialised statistical and econometric software as well.
- two-years/four semesters study programme
- 120 ECTS credits / 30 credits per semester
- full-time Master’s programme
- taught in English language
- tuition fee – 5.000 EUR/academic year – starting from September 2023 (2.500 EUR/semester)
- application deadlines: 28 February and 30 April
- starts every September
- Official Statistics
- Operational Research
- Data Modelling
EDA programme has two major specializations (students choose their specialization during the first semester):
Master in Official Statistics (MOS) and Data Analysis and Modelling (DAM).
|Compulsory/ core courses||63 ECTS (MOS)/ 90 ECTS (DAM)|
|Elective/ optional courses||15 ECTS (MOS)/ 18 ECTS (DAM)|
|Internship in State Statistical Service (only MOS)||30 ECTS – compulsory in the 3rd semester|
|STUDY ABROAD PERIOD (only DAM)||optional in 3rd semester|
|State Exams + Defence of the Master’s Thesis||12 ECTS|
EDA graduates will be qualified especially for positions in strategic, analytical and research departments of commercial and central banks, national and international statistical institutes, consulting companies, financial or government institutions, marketing agencies and large industrial firms.
- Strategy Analyst
- Business Analyst
- Specialist in Project Management
- Logistics Analyst
- Financial Markets Analyst
Applications open on December 1, 2022.
There are two application rounds:
- February 28 (recommended for Visa-required students)
- April 30
Applicants are asked to:
Complete the online application form, pay the application fee
Add a proof of English proficiency
Add study documents – (ask for recongition of previous studies)
EDA Master Programme is accredited by the Ministry of Education, Youth and Sports of the Czech Republic as a second-cycle higher education qualification.
According to the Czech legislation, graduates of the program will be awarded the academic degree Ing. inženýr (engineer), which is the academic title awarded to graduates of master’s programmes in specific fields including economics, technical sciences and technologies.
The degree’s abbreviation Ing. is to be used before the name of the graduate (e.g. Ing. Jan NOVAK).
MOS specialization is also accredited with the EMOS label (European Master in Official Statistics), awarded by the European Statistical System Committee (ESSC) only to programs which fulfil strict requirements and offer high-quality education.
The European Master in Official Statistics (EMOS) is awarded by the European Statistical System Committee (ESSC) upon fullment of strict requirements.
Learn more about the EMOS at the official website of Eurostat.
Ing. Jan Fischer, CSc.
Former Prime Minister of the Czech Republic,
Former President of the Czech Statistical Office
course: Official Statistics
doc. RNDr. Ivana Malá, CSc.
Deputy Head of the Department of Statistics and Probability,
Academic Guarantor of the DAM specialization
courses:Probability and Mathematical Statistics II
Department of Econometrics
course: Advanced Econometrics
doc. Ing. Jaroslav Sixta, Ph.D.
Vice-President of the Czech Statistical Office
courses: National Accounting, Understanding Economic and Social Indicators
Ing. Kristýna Vltavská, Ph.D.
Vice-Dean for Academic Affairs, Department of the Economic Statistics
course: Economic Statistics
prof. Ing. Jakub Fischer, Ph.D.
Dean of the Faculty Informatics and Statistics,
Academic Guarantor of the EDA programme and MOS specialization
Mgr. Ing. Martin Zelený, Ph.D.
Head of the Demography Section of the Czech Statistical Office
course: Survey Methodology
Head of the Department of Economic Statistics, Academic Director of FIS Masters
course: Economic Statistics
Ing. Adam Čabla, Ph.D.
Department of Statistics and Probability
courses: Probability and Mathematical Statistics I and II