Master's degree program Mathematics of Economy, Finance and Modeling (abbr. MEFM) is a comprehensive program for studying mathematics and mathematical methods used in economics and finance, as well as in the natural and technical sciences. A deep understanding of mathematical foundations forms the basis for teaching applied subjects, considerable emphasis is placed on mastering the work with computers and foreign language literature. The program, which in this way combines mathematics, economics and finance, is the first of its kind in Slovakia and the modernity of its concept is exceptional on an international scale. Its creation was consulted with renowned experts in the field of economics and finance from abroad.
By completing compulsory and optional subjects, the graduate will gain a solid foundation of mathematical, statistical and numerical methods, which can be further applied in the fields of economics and finance as well as in applications in the natural and technical sciences. The specifics of the MEFM study program is the possibility to choose one of two blocks of compulsory courses, which are focused on Economic and Financial Modeling and Mathematical Modeling.
By completing the core subjects of the Economic and Financial Modeling block, the student will gain a solid overview of the analytical methods of economic and financial models. The core subjects in this block include: Financial Derivatives, Dynamic Macroeconomics, Quantitative Risk Management Methods, Seminar in Economics, Insurance and Non-Cooperative Game Theory.
By completing the core subjects in the Mathematical Modeling block, the student will gain an overview of methods of mathematical modeling in the natural and technical sciences. The core subjects in this block are Principles of Mathematical Modeling in Science and Engineering, Biomathematical Modeling, Convex Optimization, Inner Point Methods, Multidimensional Statistical Analysis, Stochastic Methods of Operational Analysis and Digital Signal Processing.
Every year, several graduates continue their PhD studies , both at our faculty, but also at CERGE in Prague, at the postgraduate school Institute for Higher Studies in Vienna and at other universities. MEFM graduates achieve exceptional results on entrance tests and are among the top students.
However, most graduates are employed in financial institutions and insurance companies. Regular employers of our graduates include, in particular, Slovenská sporiteľňa, the National Bank of Slovakia, the Ministry of Finance of the Slovak Republic, the Institute for Financial Policy, ING Bank, Slovenský plynárenský priemysel and others.
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Jana Janková - graduate of MEF
“Pursuing my studies at FMPI CU was a distinctive experience that honed my analytical thinking and broadened my perspectives. The MEF study program provided me with a deep dive into various research domains such as finance, optimization, analytical methods, and mathematical statistics. In today's fast-paced information era, understanding the intricacies of these fields has become invaluable. Moreover, the faculty and the MEF study program stand out as some of the finest in Slovakia, their excellence on par with globally acclaimed study programs and universities. This high-caliber education paved the way for my PhD studies at the Swiss Federal Institute of Technology (ETH) in Zurich. I gained further experience in scientific research at the University of Cambridge, specializing in statistics and machine learning. This role presented me with the opportunity to tackle new challenges, innovate, and extend the frontiers of knowledge. I am profoundly grateful for the myriad opportunities that my time at FMPI CU has afforded me. The MEF study program is, without a doubt, a stellar choice.”
Jakub Hrbáň - Senior Strategy Specialist at Slovenské elektrárne (the Slovak electricity company); graduate of MEF and MEFM.
“I began my studies in the Mathematics of Economy and Finance (MEF) programme at FMPI CU in 2015, anticipating a high level of knowledge attainment.
After spending five years there, I can affirm that the MEF programme endowed me with exceptional theoretical knowledge in economics, finance, mathematical optimization, data analytics, and statistics.
Additionally, my time at university allowed me the opportunity to participate in several competitions, applying the knowledge I'd garnered to tackle real-world challenges.
The first such competition was the CFA Research Challenge, which involved conducting a thorough financial analysis of a designated publicly traded company.
Our team secured third place in the international round held in Prague.
Another competition, hosted by Slovenské elektrárne (the Slovak electricity company), focused on predicting short-term electricity prices, where our team clinched second place.
These achievements, however, would not have been feasible without the exceptional faculty at the Department of Applied Mathematics and Statistics.
The faculty's readiness to assist at any moment and their passion for their subjects are aspects that set them apart, and which other universities in Slovakia might well envy.
MEF graduates are highly sought after in the job market, finding employment across a diverse range of sectors including banking, insurance, consulting, IT companies, and data analytics in industries such as biomedicine and energy sector.
During my studies, I worked as a data analyst at Softec, an IT company. Following my graduation, I joined the Slovak electricity company as a strategy analyst, primarily supporting the trading department with analytical insights.
The knowledge and analytical skills I developed through the MEF programme have been invaluable in both roles.
Given the choice again, my decision would be unequivocal: FMPI CU's MEF programme.”
Martin Takáč as a PhD student at the University of Edinburgh: Best talk prize at the SIAM National Student Chapter Conference 2012, Best Talk Prize at the School of Mathematics PG Colloquium 2012, 2nd place in the INFORMS Computing Society Student Paper Award Competition 2012, IMA Leslie Fox Prize in Numerical Analysis 2013 (2nd place).
