EDA – study plan (NEW)

2 full-time years (4 semesters)
classes are usually held on working days – Monday to Friday – and on weekly basis; regular attendance is expected from students
Total workload (credits) – 120 ECTS
Study Abroad Period – optional in the 3^rd semester
Class format – lectures and seminars
A usual class duration is 90 minutes (ie two teaching hours; one teaching hour lasts 45 minutes).

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

^*Specialisation Blocks- students choose one block:

Quantitative Data Analysis and Modelling
Data Science and Business Intelligence
Official Statistics – accredited with the EMOS label (European Master in Official Statistics). The study plan includes an internship at the State Statistical Service.

1st semester

Compulsory courses for 30 ECTS
Economic Demography I (3 ECTS) – 4DM465
Social Statistics (6 ECTS) – 4ES616
Analysing Data with SQL, R and Python (9 ECTS) – 4ST613
Survey Methodology (3 ECTS) – 4ES610
Understanding Uncertainty: Probability and Statistical Inference (9 ECTS) – 4ST615

2nd semester

Compulsory courses for 24 ECTS
Machine Learning 1 (6 ECTS) – 4IZ576
Principles of Econometrics (6 ECTS) – 4EK653
Advanced Economic Statistics (6 ECTS) – 4ES617
Modelling in Data Science (6 ECTS) – 4EK666

Specialisation Blocks (Block 1, elective group) / Elective Courses (Block 2, elective group) – 6 ECTS

3rd semester

Compulsory courses for 9 ECTS
Diploma Seminar I (3 ECTS) – 4ES530
Time Series (6 ECTS) – 4ST631

Specialisation Blocks (Block 1, elective group) / Elective Courses (Block 2, elective group) – 21 ECTS

4th semester

Compulsory courses for 3 ECTS
Diploma Seminar II (3 ECTS) – 4ST655

Specialisation Blocks (Block 1, elective group) / Elective Courses (Block 2, elective group) – 15 ECTS

Final State Exams and Thesis Defence (12 ECTS) -4EDA

Specialisation Blocks (Block 1 Elective Courses) - 33 ECTS

Specialisation Block – Quantitative Data Analysis and Modelling
Applied Microeconomics for Public Policy (6 ECTS) – 4ES430
Empirical Macroeconomics (6 ECTS) – 4ES301
Data-Driven Policy Analysis (3 ECTS) – 4ES603
Dynamic Modelling (6 ECTS) – 4EK661
Spatial Modelling (6 ECTS) – 4EK662
Multivariate Data Analysis (3 ECTS) – 4ST603
Analysis of Extreme Values (3 ECTS) – 4ST651

Specialisation Block – Data Science and Business Intelligence
combination of courses up to 33 ECTS
Fundamental Analytics and Reporting (6 ECTS) – 4IT562
Machine Learning 2 (6 ECTS) – 4IT569
Big Data Processing (3 ECTS) – 4IT559
Competitive Intelligence (3 ECTS) – 4IT566
Management of Data and Analytics in the Cloud (6 ECTS) – 4IT565
Artificial Intelligence and Data Analytics in the Cloud (6 ECTS) – 4IZ1812
Introduction to Cybersecurity (3 ECTS) – 4SA617
Basics of Enterprise Information Security (3 ECTS) -SA636
Machine Learning and AI – Low Code and No-Code Approaches (6 ECTS) – 4IZ453

Specialisation Block – Official Statistics
Official Statistics (3 ECTS) – 4ES612
National Accounting: Concepts and Analyses (6 ECTS) – 4ES61
Internship in State Statistical Service (12 ECTS) – 4ES622
Defence of the Internship Project (3 ECTS) – 4ES624
Big Data Processing (3 ECTS) – 4IT559
other courses amounting to 6 ECTS in this group at the student’s discretion – 6 ECTS

Elective Courses (Block 2 Elective Courses) - for 9 ECTS

Czech for Foreigners (3 ECTS) – 4SA622
Internatinal Week KDEM1 (3 ECTS) – 4DM481
Internatinal Week KDEM2 (3 ECTS) – 4DM482
Internatinal Week KEKO1 (3 ECTS) – 4EK611
Internatinal Week KEKO2 (3 ECTS) – 4EK613
Internatinal Week KIT1 (3 ECTS) – 4IT469
Internatinal Week KIT2 (3 ECTS) – 4IT470
Internatinal Week KIZI (3 ECTS) – 4IZ573
Internatinal Week KSA (3 ECTS) – 4SA261
Internatinal Week KSA1 (3 ECTS) – 4SA630
Internatinal Week KSTP1 (3 ECTS) – 4ST460
Internatinal Week KSTP2 (3 ECTS) – 4ST560

___________________________

Newly reaccredited study programme

QUICK FACTS

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 OF STUDY

KEY FIELDS

Statistics
Econometrics
Official Statistics
Operational Research
Data Modeling
Prognosis

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 3^rd semester
Internship – included in the study plan of the Specialisation Block Official Statistics

EDA recommended study plan

CAREER PROSPECTS

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

ADMISSION PROCEDURE

There are two application rounds:

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

Admission requirements:

Bachelor/undergraduate degree, preferably in a related field of study
Proof of English proficiency

Applicants are asked to:

Complete the online application form and pay the application fee
Upload a scan of your passport or ID
Submit a CV on a given template
Add a proof of English proficiency
Add study documents – (ask for Assessment of Previous Education)
Pass an admission oral exam (online)

Admission procedure -more information

DEGREE/ACADEMIC TITLE

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).

EUROPEAN MASTER IN OFFICIAL STATISTICS - EMOS LABEL

Official 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.