Finance and Data Analytics

Charles University - Faculty of Social Sciences

Key information
Field of study:
Economics
Study language:
EN
Study programme code:
N0311A050027
Typ programu:
follow-up master study programme
Application deadline:
31.08.2026
ISCED code:
0311
Study form:
full-time
Awarded degree:
Mgr.
Study duration:
2 years
Location:
Praha
Application and admission procedure
Application deadline:
31.08.2026
Application fee:
940.00 CZK

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Study

This program pairs the key areas of finance and data analytics. It takes a data-driven approach to the analysis of financial markets. Courses include Big Data analysis, modern approaches to asset pricing using statistical learning, understanding of financial instruments, advanced econometrics, behavioral finance and time series analysis. With expertise to independently define and creatively solve a broad variety of  problems, you will be prepared for a dynamic career in finance, banking and more.

University

University detail

Institution type:
public
Founded:
1348
Abbreviation:
CUNI
Number of students:
49120
Number of international students in degree programmes:
1256
Number of international exchange students:
3131
Number of international alumni:
1256

Looking for a university with a long tradition and a modern academic environment? Charles University offers more than 600 study programmes across 17 faculties in Prague, Pilsen and Hradec Králové. You can choose from medicine, natural and technical sciences, law, economics, social sciences, humanities, theology and sport. At Charles University, you can do more than simply gain knowledge. You can get involved in research, spend a semester abroad or meet students from all over the world. The university cooperates with hundreds of international institutions and offers many opportunities to gain experience abroad, including through the Erasmus+ programme. Whether you are interested in science, working with people, medicine, languages or law, Charles University offers a wide range of options to help you find a field that matches your interests and shape your own path.

Contacts

Contacts

Field of study:
Economics
Study language:
EN
Study programme code:
N0311A050027
Typ programu:
follow-up master study programme
Application deadline:
31.08.2026
ISCED code:
0311
Study form:
full-time
Awarded degree:
Mgr.
Study duration:
2 years
Location:
Praha
Application deadline:
31.08.2026
Application fee:
940.00 CZK

ApplyOpens in a new window

This program pairs the key areas of finance and data analytics. It takes a data-driven approach to the analysis of financial markets. Courses include Big Data analysis, modern approaches to asset pricing using statistical learning, understanding of financial instruments, advanced econometrics, behavioral finance and time series analysis. With expertise to independently define and creatively solve a broad variety of  problems, you will be prepared for a dynamic career in finance, banking and more.

University

University detail
Institution type:
public
Founded:
1348
Abbreviation:
CUNI
Number of students:
49120
Number of international students in degree programmes:
1256
Number of international exchange students:
3131
Number of international alumni:
1256

Looking for a university with a long tradition and a modern academic environment? Charles University offers more than 600 study programmes across 17 faculties in Prague, Pilsen and Hradec Králové. You can choose from medicine, natural and technical sciences, law, economics, social sciences, humanities, theology and sport. At Charles University, you can do more than simply gain knowledge. You can get involved in research, spend a semester abroad or meet students from all over the world. The university cooperates with hundreds of international institutions and offers many opportunities to gain experience abroad, including through the Erasmus+ programme. Whether you are interested in science, working with people, medicine, languages or law, Charles University offers a wide range of options to help you find a field that matches your interests and shape your own path.

Contacts

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