Master in Finance and Data Analytics (MFDA)
Faculty of Social Sciences, Charles University (FSV UK)
Key Information
Campus location
Prague, Czech Republic
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
EUR 7,000 / per year *
Application deadline
30 Apr 2024
Earliest start date
Oct 2024
* the Faculty of Social Sciences offers a set of scholarships and fee reductions
Introduction
Master in Finance and Data Analytics (MFDA) is a two-year English-language Master's degree program that is designed to pair the key areas of finance and data analytics. The program takes a data-driven approach to the analysis of financial markets and organizational 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.
Focusing on modern statistical analysis, data modeling, programming, big data, and machine learning techniques, the program equips the student with a thorough understanding and advanced skills in theoretical and applied finance with an emphasis on computational aspects of the problems. Program's graduates will gain quantitative, statistical, and technical skills crucial for modern finance and will have the expertise to independently define and creatively solve a broad variety of theoretical as well as practical problems. Emphasis is put on advanced econometrics, statistical methods, and data analysis and applicants must have a solid background in Mathematics as well as good command of English. Courses are taught both by faculty members of the Institute of Economic Studies (IES) and external professionals from international institutions, central banks, and the financial industry. Students are exposed to detailed and advanced knowledge of both financial theory and applied financial methods, with a 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.
Admissions
Gallery
Career Opportunities
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 a thorough understanding and advanced skills in theoretical and applied finance with an emphasis on computational aspects in finance. Graduates gain 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. The courses in the program are constructed in line with the graduate programs in top universities in the EU, including a significant part of econometrics and data analysis.