Finance and Data Analytics (MFDA)

Description

This two-year English-language Master's degree programme is designed to pair the key areas of finance and data analytics. The programme takes a data-driven approach to the analysis of financial markets and organisational information covering key theoretical principles of finance, financial modeling and financial markets to prepare students for a dynamic career in finance, banking and a range of other sectors. The programme's curriculum focuses on modern statistical analysis, data modeling, programming, big data and machine learning techniques. MFDA equips the student with a thorough understanding and advanced skills in theoretical and applied finance with an emphasis on computational aspects of the problems. Programme's graduates will gain quantitative, statistical and technical skills crucial for modern finance and will have the expertise to independently define and creatively solve broad variety of theoretical as well as practical problems. Courses are taught both by faculty members of the Institute of Economic Studies (IES) and external professionals from international institutions, central banks and financial industry. Lecturers put emphasis on detailed and advanced knowledge of both financial theory and applied financial methods, with focus on computational aspects of the methods. 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.

Reviews