Statistik

From the evaluated documents we could not derive a semester plan that matches the programme’s duration and ECTS – so the modules are listed without semesters. The university’s study plan is authoritative.

• Required modules2 modules

  • Stochastik I10 ECTS
  • AbschlussmodulSummary by OWWZ: Students develop and investigate a statistical research question in a thesis and present and discuss their methods and findings in a seminar.Thesis30 ECTS
• Required elective from Lineares Modellchoose 10 ECTS · 2 modules

  • Econometric MethodsSummary by OWWZ: Covers linear regression, asymptotic theory, maximum likelihood, instrumental variables and moment methods, enabling students to assess assumptions, perform inference and evaluate econometric research.winter semester onlyExam (in German): Klausur 150 Min.10 ECTSRequired elective
  • Methoden der Statistik10 ECTSRequired elective
• Required elective from Multivariate statistische Analysechoose 6 ECTS · 2 modules

  • Multivariate Statistical Analysis6 ECTSRequired elective
  • Multivariate Verfahren6 ECTSRequired elective
• Required elective from Fortgeschrittene Methoden der Statistikchoose 6 ECTS · 2 modules

  • Advanced Econometrics6 ECTSRequired elective
  • Statistik für Fortgeschrittene6 ECTSRequired elective
• Required elective from Fachlicher Wahlpflichtbereichchoose 48 ECTS · 79 modules

  • MaßtheorieSummary by OWWZ: Introduces measure spaces, measurable functions, densities and Lebesgue integration, including Fubini’s theorem, as foundations for probability and mathematical statistics.summer semester only6 ECTSRequired elective
  • Stochastik II10 ECTSRequired elective
  • Multivariate Statistics and Non- and Semiparametric Modelling6 ECTSRequired elective
  • Datenanalyse I6 ECTSRequired elective
  • Datenanalyse II6 ECTSRequired elective
  • Neuere Statistische Methoden6 ECTSRequired elective
  • Aktuelle Forschungsfragen der Statistik6 ECTSRequired elective
  • Mathematische Statistik10 ECTSRequired elective
  • Nichtparametrische Statistik10 ECTSRequired elective
  • Statistik stochastischer Prozesse5 ECTSRequired elective
  • Statistische BeratungSummary by OWWZ: Students structure real consulting requests, select statistical methods and explain results, developing data management and scientific communication through consulting practice, reports and case presentations.6 ECTSRequired elective
  • Microeconometrics6 ECTSRequired elective
  • Applied Microeconometrics6 ECTSRequired elective
  • Time Series Analysis6 ECTSRequired elective
  • Univariate Zeitreihenanalyse6 ECTSRequired elective
  • Analysis of Panel Data6 ECTSRequired elective
  • Econometric Analysis of Longitudinal and Panel Data6 ECTSRequired elective
  • Ökonometrische Analyse6 ECTSRequired elective
  • Multivariate Zeitreihenanalyse6 ECTSRequired elective
  • Estimation of Treatment Effects6 ECTSRequired elective
  • Treatment Effects Analysis6 ECTSRequired elective
  • Econometric Projects6 ECTSRequired elective
  • Selected Topics in Econometrics6 ECTSRequired elective
  • Introduction to Financial Econometrics6 ECTSRequired elective
  • Aktuelle Forschungsfragen der Ökonometrie6 ECTSRequired elective
  • Stochastische Finanzmathematik I10 ECTSRequired elective
  • Ausgewählte Themen der Finanz- und Versicherungsmathematik5 ECTSRequired elective
  • Stichprobenverfahren6 ECTSRequired elective
  • VarianzschätzmethodenSummary by OWWZ: Examines survey-estimator precision through analytical methods, linearization and resampling, assessed using simulation and confidence-interval coverage.6 ECTSRequired elective
  • Panel SurveysSummary by OWWZ: Connects panel-survey designs with regression and event-duration models, addressing nonresponse, attrition, calibration and methods to control panel dropout.6 ECTSRequired elective
  • Small Area SchätzverfahrenSummary by OWWZ: Studies estimates for small population groups and regions, comparing direct, synthetic and model-based approaches in terms of bias and uncertainty and implementing them in software.6 ECTSRequired elective
  • Einführung in die Bayes-StatistikSummary by OWWZ: Introduces Bayesian reasoning with prior and posterior distributions, conjugate models and simulation methods for inference with more complex distributions.6 ECTSRequired elective
  • Einführung in die Multiple ImputationSummary by OWWZ: Examines missing survey data and limitations of simple replacement methods, connecting multiple imputation with Bayesian concepts and practical statistical software.6 ECTSRequired elective
  • Simulation und StichprobenziehungSummary by OWWZ: Uses simulation to assess sampling designs, implementing random-number generation, randomness tests, variance reduction and resampling in model- and design-based studies with R.6 ECTSRequired elective
  • Seminar zur Survey StatistikSummary by OWWZ: Applies imputation and survey weighting to real data, with students selecting software and strategies, comparing results and discussing nonresponse problems.6 ECTSRequired elective
  • Empirical Labor Economics6 ECTSRequired elective
  • Applied Predictive Analytics6 ECTSRequired elective
  • Business Analytics & Data Science6 ECTSRequired elective
  • Advanced Marketing Modelling6 ECTSRequired elective
  • Multivariate Verfahren in der PsychologieSummary by OWWZ: Covers regression, variance and covariance analysis, factor and path models, applying statistical software to real psychological data and scientific reporting.winter semester onlyExam (in German): Klausur 90 Min.6 ECTSRequired elective
  • Trends in der psychologischen Methodenlehre5 ECTSRequired elective
  • Statistical Programming Languages6 ECTSRequired elective
  • Statistical Inference I6 ECTSRequired elective
  • Statistical Inference II6 ECTSRequired elective
  • Generalized Regression6 ECTSRequired elective
  • Advanced Regression Modelling6 ECTSRequired elective
  • Selected Topics in Statistics6 ECTSRequired elective
  • Research Seminar in Statistics6 ECTSRequired elective
  • Projektpraktikum II (Stochastik)5 ECTSRequired elective
  • Selected Topics in Quantitative FinanceSummary by OWWZ: Examines current topics in quantitative finance, studying statistical properties of relevant methods and applying them to empirical data through lectures and exercises or seminar work.6 ECTSRequired elective
  • Selected Topics in Survey StatisticsSummary by OWWZ: Examines current topics in survey statistics, studying statistical properties of relevant methods and applying them to empirical data through lectures and exercises or seminar work.6 ECTSRequired elective
  • Selected Topics in Applied EconometricsSummary by OWWZ: Examines current topics in applied econometrics, studying statistical properties of relevant methods and applying them to empirical data through lectures and exercises or seminar work.6 ECTSRequired elective
  • Statistik für Biowissenschaften II8 ECTSRequired elective
  • Advanced Biometric MethodsSummary by OWWZ: Explores advanced methods for clinical and observational studies, including adaptive designs, multi-state models, matching, meta-analysis and regularized regression.winter semester onlyExam (in German): Klausur 90 Min.5 ECTSRequired elective
  • Methods of Clinical TrialsSummary by OWWZ: Connects statistical tests with clinical-trial design and critical appraisal, covering randomization, blinding, endpoints, trial types and meta-analysis.summer semester onlyExam (in German): Klausur 90 Min.5 ECTSRequired elective
  • Statistical Methods for Small Sample SizesSummary by OWWZ: Examines inference for small samples and limitations of asymptotic assumptions, using rank tests, bootstrap and permutation for effect estimation, confidence intervals and hypothesis testing.summer semester onlyExam (in German): Klausur 90 Min.5 ECTSRequired elective
  • Selected Topics in Statistics in the Life SciencesSummary by OWWZ: Examines current topics in statistics in the life sciences, studying statistical properties of relevant methods and applying them to empirical data through lectures and exercises or seminar work.6 ECTSRequired elective
  • Computergestützte StatistikSummary by OWWZ: Teaches reproducible data analysis, visualization and programming using R, with the option of teaching another statistical programming language instead.6 ECTSRequired elective
  • Stochastische Finanzmathematik II10 ECTSRequired elective
  • Ausgewählte Themen der Stochastik5 ECTSRequired elective
  • Resampling Techniques and their ApplicationsSummary by OWWZ: Explains bootstrap, permutation and other resampling approaches for robust small-sample inference, with efficient R implementation and assessment of when the methods work.winter semester onlyExam (in German): Klausur 90 Min.5 ECTSRequired elective
  • Machine Learning 16 ECTSRequired elective
  • Machine Learning 26 ECTSRequired elective
  • Künstliche Intelligenz: Grundlagen und Anwendungen6 ECTSRequired elective
  • Künstliche Intelligenz: Grundlagen, Anwendungen und Seminar9 ECTSRequired elective
  • Monte Carlo Methods in Machine Learning and Artificial Intelligence6 ECTSRequired elective
  • Probabilistic and Bayesian Modelling in Machine Learning and Artificial Intelligence6 ECTSRequired elective
  • Projects in Machine Learning and Artificial Intelligence6 ECTSRequired elective
  • Regression-based Statistical Learning with R6 ECTSRequired elective
  • Statistical and Machine Learning6 ECTSRequired elective
  • Advanced Data Analytics for Management Support6 ECTSRequired elective
  • Seminar Information Systems6 ECTSRequired elective
  • Selected Topics in Data ScienceSummary by OWWZ: Develops a selected topic such as machine learning, deep learning or uncertainty quantification, connecting theoretical properties with practical data analysis and scientific discussion.irregular6 ECTSRequired elective
  • Research Seminar in Data ScienceSummary by OWWZ: Students investigate current literature and scientific methods in a data-science topic, presenting and discussing their findings in seminars.irregular6 ECTSRequired elective
  • Introduction to Natural Language Processing6 ECTSRequired elective
  • Machine Intelligence I6 ECTSRequired elective
  • Machine Intelligence II6 ECTSRequired elective
  • Nutzung der Amtlichen Statistik in den Wirtschafts- und Sozialwissenschaften6 ECTSRequired elective
  • Armuts- und Ungleichheitsmessung6 ECTSRequired elective

Topic profile

ECTS by topic from the curriculum’s modules; together at most the programme’s ECTS.RequiredElective

• Statistics8 ECTS: 5 required, 3 elective8 ECTS
• Probability and stochastics5 ECTS: 5 required5 ECTS
• Econometrics3 ECTS: 0 required, 3 elective3 ECTS

Curriculum sources

• Studien- und Prüfungsordnung – StatistikExamination regulations · Version 27. April 2016; Änderungen 15. Oktober 2018 und 22. Juni 2021 · checked 15 October 2026