Graduates of the Master in Finance and Data Analytics program are qualified for advanced quantitative analysis in the field of data analysis of financial markets with emphasis on techniques of statistical modeling and Big Data processing. Focusing on modern statistical analysis, data modeling, programming, big data and machine learning techniques, the curriculum offers thorough understanding and advanced skills in theoretical and applied finance with emphasis on computational aspects in finance.

Graduates gained quantitative, statistical and technical skills crucial for modern finance and have the expertise to independently define and creatively solve a broad variety of theoretical as well as practical financial problems.