Economic Data Analysis

Newly reaccredited study programme

 

  • two-year/four-semester study programme
  • 120 ECTS credits / 30 credits per semester
  • full-time Master’s programme
  • taught in English language
  • tuition fee – 6,000 EUR/academic year   (3,000 EUR/semester)
  • application deadlines: 28 February and 30 April
  • starts every September

KEY FIELDS

  • Statistics
  • Econometrics
  • Official Statistics
  • Operational Research
  • Data Modeling
  • Prognosis

Specialisation Blocks

  • Quantitative Data Analysis and Modelling
  • Data Science and Business Intelligence
  • Official Statistics
Course Group credits
Compulsory/Mandatory Courses 66 ECTS
Specialisation Blocks (Block 1 Elective Courses)* 33 ECTS
Elective Courses (Block 2 Elective Courses) 9 ECTS
State Exams + Defence of the Master’s  Thesis 12 ECTS

Study Abroad Period – optional in the 3rd semester
Internship – included in the study plan of the Specialisation Block Official Statistics

 

EDA recommended study plan

EDA study plan – detailed information

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
  • Researcher

There are two application rounds:

  • 28 February (recommended for Visa-required students)
  • 30 April (recommended for EU students or students already living in Czechia)

Admission requirements:

Applicants are asked to:

  1. Complete the online application form   and pay the application fee

  2. Upload a scan of your passport or ID

  3. Submit a CV on a given template – ISM CV,EDA CV

  4. Add study documents  –  (ask for Assessment of Previous Education)

  5. Pass an admission oral exam (online)


Admission procedure -more information

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 programme 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).

EMOS european master in official statistics EDA economic data analysisOfficial Statistics Specialisation Block is  also accredited with the EMOS label (European  Master in Official Statistics), awarded by the European Statistical System Committee (ESSC) only to programs that fulfill strict requirements and offer high-quality education.

Learn more about the EMOS at the official website of Eurostat.


Ing. Jan Fischer, CSc.

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

doc. Ing. Tomáš Formánek, Ph.D.

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.

Vice-Dean for Research, Statutory Deputy Dean,
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

doc. Ing. Mgr. Petr Mazouch, Ph.D.

Head of the Department of Economic Statistics, Academic Director of English taught programmes at FIS
course: Economic Statistics

Ing. Adam Čabla, Ph.D.

Department of Statistics and Probability
courses: Probability and Mathematical Statistics I and II

 

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