Master in Finance and Data Analytics (MFDA) Charles University

Overview

At the Master in Finance and Data Analytics (MFDA) from Charles University 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.

Key facts

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. 

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.