Finance and Data Analytics (MFDA)

"Our key motivation in building the curriculum of this program was to bring the new data science and machine learning skills to finance to be able to solve financial problems."
Jozef Baruník
MFDA director

This program is designed to pair the key areas of finance and data analytics. It 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.

MFDA will equip you with a thorough understanding and advanced skills in theoretical and applied finance with an emphasis on computational aspects of the problems. Courses are taught both by faculty members and external professionals from international institutions, central banks and financial industry. 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.

You 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.  You will be prepared for a dynamic career in finance, banking and a range of other sectors.

Admission Requirements

The program is open to students who meet general admission requirements and have completed a Bachelor or equivalent degree. Degrees in economics, finance, business studies, mathematics, physics, or technical fields are especially welcomed. Applicants are required to have an excellent analytical quantitative skills and at least two terms of Bachelor level mathematics. Prior knowledge of economics or finance is an advantage, but it is not required.

Quick Facts

Type: Master

Duration: 2 years

Tuition fee: 6,000 EUR per year

Scholarship options: see here

Location: Prague, Czechia

Application deadline: 2 September 2022

Early-bird application deadline: 30 June 2022
(this deadline is strongly recommended for visa-seeking students)

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