Master in Mathematics and Financial Economics
- Feb 23
- 2 min read
This Master study program is an advanced, 100% research-based academic pathway designed for graduates and professionals seeking to integrate rigorous mathematical theory with financial and economic analysis. Positioned at a study level equal to EQF Level 7 and aligned with the second European cycle, the program emphasizes quantitative precision, analytical modeling, and independent research in financial markets and economic systems.
With a total academic workload equal to 60 ECTS, the program can be completed within a minimum duration of 12+ months, while offering flexibility for participants who wish to extend their study period in accordance with their research scope and professional commitments.
The academic structure consists of five modules, carefully designed to combine methodological strength and financial specialization:
Two research-focused modules dedicated to advanced research design, quantitative methodologies, econometrics, mathematical modeling, statistical inference, academic writing, and critical analysis of financial and economic literature.
Two general modules strengthening interdisciplinary understanding, ethics in financial research, global economic frameworks, and the application of quantitative reasoning in professional contexts.
One specialized module in Mathematics and Financial Economics, covering areas such as financial mathematics, asset pricing models, derivatives and risk management, stochastic processes, macroeconomic and microeconomic analysis, portfolio theory, and quantitative finance.
The program culminates in a substantial research thesis and structured research activities, enabling participants to generate original analytical contributions in areas such as financial risk modeling, investment analysis, behavioral finance, economic forecasting, banking regulation, quantitative asset management, and data-driven economic policy evaluation.
This Master study program is particularly suitable for financial analysts, economists, quantitative researchers, risk managers, investment professionals, data scientists, and graduates aiming to build advanced expertise in mathematical finance and economic modeling. Graduates are expected to demonstrate high-level analytical competence, independent research capability, and the ability to apply advanced mathematical frameworks to financial and economic decision-making.





