Prague University of Economics and Business - Faculty of Informatics and Statistics
Bachelor of Economic Data Science
Prague, Czech Republic
Bachelor's degree
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Apr 2026*
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 5,000 / per year
STUDY FORMAT
On-Campus
* https://fis.vse.cz/english/admissions/admissions/bc/
Key Summary
Study Economic Data Science at one of the most prestigious universities in the field of data science and economics. The Prague University of Economics and Business recently earned the AACSB accreditation.
Prague is an enchanting city with a rich history, a cultural and economic hub. The affordable living costs and low unemployment rate add to its unique charm.
The Bachelor's programme in Economic Data Science is a three-year, full-time course taught in English. It is designed for students who want to pursue careers in data-driven roles within business or the public sector. The programme combines economics with advanced skills in data analysis, statistics, and econometrics.
Quick facts
- Three-year/six-semester study program
- 180 ECTS credits / 30 credits per semester
- Full-time Bachelor’s (undergraduate) program
- Taught in the English language
- Tuition fee – 5,000 EUR/academic year (2,500 EUR/semester)
- Application deadlines: 28 February and 30 April
- Starts every September
Key fields of study
- Data Science
- Statistics
- Econometrics
- Data Analysis
- Critical Thinking
EDS Bachelor program is accredited by the Ministry of Education, Youth and Sports of the Czech Republic as a first-cycle higher education qualification.
Graduates are entitled to continue their studies at the graduate level.
The Prague University of Economics and Business holds the prestigious AACSB accreditation.
- 3 full-time years (6 semesters)
- Classes are usually held on working days – Monday to Friday – and on a weekly basis; regular attendance is expected from students
- Total workload (credits) – 180 ECTS
- Class format – lectures and seminars
- The usual class duration is 90 minutes (ie two teaching hours; one teaching hour lasts 45 minutes)
1st semester
Compulsory courses for 27 ECTS
- Mathematics for economists (6 ECTS) – 4MM451
- Data Analysis with R and SQL (6 ECTS) – 4ST607
- Description and Comparison of Economic Data (3 ECTS) – 4ES103
- Principles of Economics: Theory and Data I. (6 ECTS) – 4ES104
- Academic Writing & Critical and Analytical Thinking, Data Sources (6 ECTS) – 4SA369
2nd semester
Compulsory courses for 27 ECTS
- Real Data Analysis (6 ECTS) – 4ST606
- Probability and Mathematical Statistics I (6 ECTS) – 4ST621
- Principles of Economics: Theory and Data II. (6 ECTS) – 4ES105
- Economic Statistics (6 ECTS) – 4ES611
- Banking and Financial Institutions (3 ECTS) – 1BP260
Elective courses for 6 ECTS
3rd semester
Compulsory courses for 27 ECTS
- External Data and Information Sources (3 ECTS)–4IT349
- Business Intelligence Fundamentals (3 ECTS) – 4IT335
- Data Analytics Fundamentals (3 ECTS) – 4IT338
- Regression Modelling (6 ECTS) – 4EK621
- Development Economics (6 ECTS) – 4ES201
- Data Analysis in Python (6 ECTS) – 4ST642
Elective courses for 3 ECTS
4th semester
Compulsory courses for 23 ECTS
- Exploratory Data Analysis (3 ECTS) – 4ST626
- World Economy (9 ECTS) – 2SE252
- Managerial Economics (5 ECTS) – 3MI807
- Econometric Modelling (6 ECTS) – 4EK631
Elective courses for 7 ECTS
5th semester
Compulsory courses for 25 ECTS
- Statistical Learning (6 ECTS)- 4ST641
- Empirical Macroeconomics (6 ECTS) – 4ES301
- Data-Driven Policy Analysis (4 ECTS) – 4ES613
- Quantitative Methods in Economics (6 ECTS) – 4ES615
- Bachelor’s Thesis Seminar (3 ECTS) – 4ES303
Elective courses for 5 ECTS
6th semester
Compulsory courses for 12 ECTS + State exam (9 ECTS)
- Case Studies in Data Science (6 ECTS) – 4EK616
- Storytelling, presentation, and media trends (6 ECTS) – 4ME356
- State exam and Thesis defense (9 ECTS) – EDS
Elective courses for 9 ECTS
- Economic Data Scientist
- Business Analyst
- Economic Data Manager
- Economic Data Consultant
EDS graduates will be specially qualified for positions where data analysis and economic indicator interpretation is required. They will also be able to work with various data sources.
Graduates are also entitled to continue their studies at the graduate level.