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M.Sc. Business Mathematics — Compulsory Elective Modules in Mathematics

Translation is missing, sorry. German original:

In diesem Studienbereich sind Module im Umfang von 27-30 LP zu absolvieren, so dass sich in Summe mit dem Bereich Freie Wahlpflichtmodule 66 LP ergeben. Empfohlen werden mindestens 9 LP Vertiefung Stochastik und 9 LP im Bereich der Optimierung sowie die Finanzmathematik I (falls noch nicht im Bachelor absolviert); es dürfen Aufbaumodule im Umfang von höchstens 9 LP belegt werden.

List of modules in this area of study:

Sorted: alphabetical, by classification, by level and CP

• Algebraic Geometry: Introduction (Advanced module, 6 CP)
• Algebras and their Representations (Specialization module, 9 CP)
• Applied Harmonic Analysis I (Advanced module, 6 CP)
• Applied Harmonic Analysis II (Specialization module, 6 CP)
• Approximation Theory (Specialization module, 9 CP)
• Continuous Optimization (Advanced module, 9 CP)
• Discrete Geometry (Advanced module, 6 CP)
• Elementary Number Theory (Advanced module, 6 CP)
• Empirical processes (Specialization module, 6 CP)
• Financial Mathematics II (Specialization module, 6 CP)
• Financial Optimization (Specialization module, 6 CP)
• Forecasting: Theory and Practice (Specialization module, 9 CP)
• Fourier Integral Operators (Specialization module, 9 CP)
• Functional Analysis (Specialization module, 9 CP)
• Group Theory (Advanced module, 6 CP)
• High-dimensional Statistics and Machine Learning (Specialization module, 6 CP)
• Internship Stochastics (Practical module, 6 CP)
• Large Advanced Module Numerical Mathematics/Optimization (Advanced module, 9 CP)
• Large Advanced Module Stochastics (Advanced module, 9 CP)
• Large Specialization Module Business Mathematics (Specialization module, 9 CP)
• Large Specialization Module Numerical Mathematics/Optimization (Specialization module, 9 CP)
• Large Specialization Module Stochastics (Specialization module, 9 CP)
• Mathematical and Nonparametric Statistics (Specialization module, 6 CP)
• Matrix Methods in Data Analysis (Advanced module, 9 CP)
• Non-Life Insurance Mathematics (Specialization module, 3 CP)
• Nonsmooth Analysis and Optimization (Specialization module, 9 CP)
• Numerical Analysis (Advanced module, 9 CP)
• Numerical Analysis I (Advanced module, 6 CP)
• Numerical Analysis II (Specialization module, 6 CP)
• Numerical Methods for Ordinary Differential Equations (Specialization module, 6 CP)
• Numerical Solution Methods for Differential Equations (Specialization module, 9 CP)
• Numerical Solution Methods for Finite Dimensional Problems (Specialization module, 9 CP)
• Optimization I (Advanced module, 6 CP)
• Optimization II (Specialization module, 6 CP)
• Partial Differential Equations (Specialization module, 9 CP)
• Personal Insurance Mathematics (Advanced module, 3 CP)
• Probabilistic Combinatorics (Specialization module, 9 CP)
• Probability Theory (Specialization module, 9 CP)
• Quantitative Risk Management (Specialization module, 6 CP)
• Selected Topics in Numerical Analysis (Specialization module, 6 CP)
• Selected Topics on Financial Mathematics (Specialization module, 3 CP)
• Small Advanced Module Numerical Mathematicss/Optimization (Advanced module, 6 CP)
• Small Advanced Module Stochastics (Advanced module, 6 CP)
• Small Specialization Module Business Mathematics a (Specialization module, 6 CP)
• Small Specialization Module Business Mathematics b (Specialization module, 6 CP)
• Small Specialization Module Business Mathematics without Tutorial a (Specialization module, 3 CP)
• Small Specialization Module Business Mathematics without Tutorial b (Specialization module, 3 CP)
• Small Specialization Module Numerical Mathematics/Optimization (Specialization module, 6 CP)
• Small Specialization Module Stochastics (Specialization module, 6 CP)
• Small Specialization Module Stochastics without Tutorial (Specialization module, 3 CP)
• Special Topics of Insurance Mathematics (Specialization module, 3 CP)
• Statistics (Advanced module, 9 CP)
• Statistics and Statistical Learning (Specialization module, 9 CP)
• Stochastic Processes (Specialization module, 6 CP)
• Stochastical Analysis (Specialization module, 9 CP)
• Topological Methods in Data Analysis (Advanced module, 9 CP)

Please note:

This page applies to the most current examination regulations in Winter semester 2025/26. If you are studying according to an earlier or later examination regulation other provisions may apply:

• Winter 2016/17 (no corresponding element)
• Summer 2018 (no corresponding element)
• Winter 2018/19 (no corresponding element)
• Winter 2019/20 (no corresponding element)
• Winter 2020/21 (no corresponding element)
• Summer 2021 (no corresponding element)
• Winter 2021/22 (no corresponding element)
• Winter 2022/23 (no corresponding element)
• Winter 2023/24 (no corresponding element)
• Winter 2025/26

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.