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 3rd 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.
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
Compulsory courses for 18 ECTS
Machine Learning 1 (6 ECTS) – 4IZ576
Principles of Econometrics (6 ECTS) – 4EK653
Advanced Economic Statistics (6 ECTS) – 4ES617
Specialisation Blocks (Block 1, elective group) / Elective Courses (Block 2, elective group) – 12 ECTS
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
Compulsory courses for 9 ECTS
Diploma Seminar II (3 ECTS) – 4ST655
Modelling in Data Science (6 ECTS) – 4EK666
Specialisation Blocks (Block 1, elective group) / Elective Courses (Block 2, elective group) – 9 ECTS
Final State Exams and Thesis Defence (12 ECTS) -4EDA
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
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
