University master's degrees
University Master's Degree in Economic Analysis

Training in Economics with a strong emphasis on rigorous analytical thinking and advanced quantitative and computational methods in an international academic community

Official Master's Degree in Economic Analysis

Ideal student profile

Students of this master’s program must hold a bachelor’s degree or an equivalent qualification in Economics, Finance, Mathematics, Engineering, or Physics, or any other degree with quantitative knowledge equivalent to the aforementioned degrees. They must have an advanced level of English (B2). In addition, they need strong analytical and quantitative skills.

Knowledge

  • List the mathematical and statistical instruments essential to formalise advanced economic problems in multivariate models.
  • Define linear and nonlinear econometric models, indicating the hypotheses of consistency and robustness that allow their professional application.
  • Relate probability principles to inference strategies to interpret macro and microeconomic datasets critically.
  • Recognise market structures and equilibria (competitive and non-competitive) based on their formal representation and efficiency criteria.
  • Indicate the main models of growth and economic dynamics used in the contemporary literature, citing the conditions of application.
  • Identify dynamic programming techniques and statistical methods for formulating and resolving complex economic policies within defined time frames.
  • Cite recent contributions on uncertainty and dynamic general equilibrium that set trends in international economic research.

Skills

  • Apply mathematical and econometric methodologies to solve decision-making problems in dynamic multi-agent models.
  • Develop modelling strategies integrating hypotheses and constraints to simulate macro and microeconomic scenarios in a reproducible way.
  • Analyse the quality of econometric estimators using bias, efficiency, and robustness testing on real datasets.
  • Experiment with simulation techniques to test the robustness of growth models and public policy evaluation using open-source tools.
  • Restructure empirical protocols to adapt them to heterogeneous databases, guaranteeing traceability and replicability of the results.

Competences

  • Design evidence-based economic policy solutions to reduce inequalities, assessing the social, economic and environmental impact.
  • Evaluate macro and microeconomic decisions by contrasting theoretical frameworks with real data to prioritise sustainable development strategies.
  • Create original research that integrates quantitative and qualitative methods to advance knowledge in economic growth and public policy.
  • Integrate gender and sustainability criteria in the planning of research and consulting projects, judging their viability and regulatory impact.