Finance and Data Analytics (MFDA)
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.
Application deadlines
early-bird: 28 February 2026
regular: 30 April 2026
Important note for visa-seeking students: Please read about the visa process before applying. You are responsible for organizing your legal stay in Czechia and the visa process can be quite lengthy. We therefore strongly recommend the early-bird deadline.
Program description
Focusing on modern statistical analysis, data modeling, programming, big data, and machine learning techniques, the curriculum provides a thorough understanding and advanced skills in theoretical and applied finance, with an emphasis on computational aspects. In particular, 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.
As the program exposes you to topics in advanced econometrics, statistical methods and data analysis, you have to have an excellent background in mathematics. Courses are taught both by faculty members and external professionals from international institutions, central banks and the financial industry.
For the full curriculum of the program, please click here.
Tuition fees and scholarships
Tuition fees: 7 000 EUR per year
Click for more information about tuition fees and available scholarships.
Important information
Degree: Master’s
Form: single degree
Duration: 2 years
Language: English
Teaching: on campus
After graduation
You will be qualified for advanced quantitative analysis in the field of financial market data analysis with an emphasis on techniques of statistical modeling and Big Data processing. You will gain quantitative, statistical, and technical skills crucial for modern finance and the expertise to independently define and creatively solve a broad range of theoretical as well as practical financial problems. This prepares you for a career in today’s rapidly evolving financial landscape, whether in finance, banking, or other sectors.
Admission requirements
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