Mathematics of Economy, Finance and Modeling
Master's Degree Program
Language of courses:
|doc. RNDr. Margaréta Halická, CSc.
doc. Mgr. Igor Melicherčík, PhD.
doc. RNDr. Mária Trnovská, PhD.
doc. RNDr. Peter Guba, PhD.
|Related study programs:
|bachelor's degree programs Economic and Financial Mathematics
A graduate of the master's program Mathematical Economics, Finance and Modelling has a broad knowledge base in mathematical disciplines such as mathematical analysis, linear algebra and geometry, differential and differential equations, numerical methods, probability and statistics. In the field of modeling economic and financial processes, he has a quality education in the fields of mathematical economics, financial mathematics, risk analysis and mathematical methods in insurance. In the field of mathematical modeling, the graduate masters the methods of creating models and their mathematical-computer analysis with applications in physical, engineering and biomathematical modeling. Masters advanced optimization methods with applications in large-scale calculations and data analysis. The graduate masters at an advanced level computer work, programming and working with modern mathematical, statistical and financial software such as Python, Matlab, R, SAS and others. The content focus of diploma theses is mainly focused on the applications of mathematical and statistical methods in the field of mathematical modeling, econometrics, financial mathematics, insurance and other related fields.
This program is a comprehensive program of teaching mathematics and mathematical methods used in economics and finance, as well as in the natural and technical sciences. A deep understanding of mathematical basics forms the basis for teaching applied subjects, considerable emphasis is placed on mastering work with computers and foreign language literature. The program in this way combining mathematics, economics and finance is the first of its kind in Slovakia and the modernity of its concept is exceptional on an international scale. His work has been consulted with renowned experts in the field of economics and finance from abroad.
The study plan consists of compulsory, optional and elective subjects. Compulsory include the basic subjects that form the core of the study program, which are necessary to master both blocks of compulsory elective programs.
- Economic and financial modeling
- Mathematical modeling
which determine the specified profile of the graduate. Elective courses enrich the structure and versatility of the study program. The student must obtain 26 credits for compulsory subjects. The student must obtain 30 credits for the defense of the diploma thesis and the Final State Examination. For compulsory elective courses, the student must obtain at least 46 credits, which means that the student must obtain at least 102 credits in the sum of compulsory and optional subjects. He can obtain the remaining credits by completing elective courses from the offer.
With the diploma thesis, the student has to demonstrate the ability to independently acquire theoretical and practical knowledge based on the current state of science and creatively apply, use and develop them. The final thesis will be prepared by the student under the guidance of the thesis supervisor. The supervisor of the final thesis will prepare a written report on the final thesis and propose its evaluation. The final work is assessed by the opponent. The opponent will prepare a written report on the final thesis and propose its evaluation.
Overview of successful final theses of our students: http://www.iam.fmph.uniba.sk/studium/efm/diplomovky/
Graduates successfully apply in specialized analytical teams at the Government of the Slovak Republic, the Institute of Financial Policy, the Value for Money Department and others. They work and lead top analytical teams in domestic and international banking institutions. Mastering scientific research techniques and actively participating in research already during their studies allows our graduates to apply in the leading positions of financial institutions, technology companies and consortia. The graduate can work in research and analytical departments of banking, industrial and technological entities.