1. Semester6 ECTS
Mathematics/Statistics
Provides formal foundation in mathematics, statistics, and probability theory with applications to economic problems. Topics include functions, linear algebra, probability theory, and parameter estimation methods (OLS, MLE, Bayes).
1. Semester6 ECTS
Programming
Introduces programming fundamentals in Python including algorithms, software development, clean coding practices, version control, and practical applications in data analysis and visualization.
1. Semester6 ECTS
Econometrics of Cross Section and Panel Data
Covers econometric methodology including linear regression, panel data methods, specification issues, endogeneity solutions, and treatment effect frameworks with implementation in Stata.
1. Semester6 ECTS
Management Science/Operations Research
Teaches models and methods for decision support in logistics planning and optimization, with applications to production, quality assurance, marketing, and investment planning.
1. Semester6 ECTS
Economic Decision Making and Strategic Interaction
Covers asymmetric information models, game theory concepts, and mechanism design with applications in industrial organization, labor economics, and behavioral economics.
2. Semester6 ECTS
Academic Skills
Develops scientific working methods including literature research, scientific writing, empirical project management, and personal skills relevant to academic and professional contexts.
2. Semester6 ECTS
Microeconometrics A: Causal inference & advanced techniques
Teaches advanced econometric techniques for causal inference using natural experiments, including instrumental variables and regression discontinuities with implementation in Stata.
2. Semester6 ECTS
Microeconometrics B: Limited dependent variables and sample selection
Covers non-linear econometric models for limited dependent variables, including binary outcomes, censored regression, count data, and sample selection corrections.
2. Semester6 ECTS
Advanced Time Series Analysis
Covers dynamic time series models, Bayesian approaches, state-space representation, and numerical methods including particle filters and Monte Carlo methods.
2. Semester6 ECTS
Introduction to Computational Statistics and Data Analysis
Provides overview of computational statistics including numerical optimization, sampling methods, and data analysis techniques such as classification, dimension reduction, and machine learning.
3. Semester6 ECTS
Economic Analysis of Micro Data
Develops advanced empirical toolkit for econometric analysis of microdata with emphasis on practical implementation across various economic fields.
3. Semester6 ECTS
Data Governance
Covers data management lifecycle, data management plans, FAIR principles, data security, documentation, metadata standards, and data publication practices.
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