Master in Finance and Data Analytics (MFDA)

General

Program Description

  • Program Duration: 2 years
  • Language of Instruction: English
  • Program Director: doc. PhDr. Jozef Baruník, Ph.D. (jozef.barunik@fsv.cuni.cz) 
  • Program Coordinators: PhDr. František Čech Ph.D. (frantisek.cech@fsv.cuni.cz)
  • Admission Administration: admissions@fsv.cuni.cz
  • Tuition Fee: 6 000 EUR per year
  • Reduction or Waiving the Fee: The Faculty of Social Sciences offers a set of scholarships and fee reductions. 

This two-year English-language Master's degree program 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.

The program'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. Program 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.

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. Lecturers put emphasis on detailed and advanced knowledge of both financial theories 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.

Deadlines

Early-bird term for the application: 28. 02. 2021

The early-bird term is strongly recommended for students from visa-seeking countries. Please, be aware that it is the student's responsibility to obtain a visa before enrolling in the program.

Application submission deadline: 30. 04. 2021

Study Prerequisites

The program is open to students who have completed a Bachelor’s degree (or equivalent). Applicants with Bachelor's degrees in economics, finance, business studies, mathematics, physics, or technical fields are especially welcomed. Applicants are required to have excellent analytical quantitative skills. They should have completed at least two courses in two terms of Bachelor level mathematics. Applicants should be familiar with the following topics of calculus and linear algebra: functions, limits, derivatives, partial derivatives, optimization techniques, matrix algebra, and differential and difference equations. They should have an introductory-level understanding of probability distributions, hypothesis testing, linear regressions, and the OLS estimation method. Prior knowledge of economics or finance is an advantage, but it is not required.

Last updated Nov 2020

About the School

Charles University (CU) was founded in Prague in 1348 by the Holy Roman Emperor Charles IV and belongs among the oldest, largest and most prestigious universities in the world. Charles University is c ... Read More

Charles University (CU) was founded in Prague in 1348 by the Holy Roman Emperor Charles IV and belongs among the oldest, largest and most prestigious universities in the world. Charles University is currently ranked among the top 2% of the world´s universities in Shanghai University’s Academic Ranking of World Universities. It is the number one university in Eastern Europe according to the The Webometrics Ranking of World Universities. Read less