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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.

M.Sc. Data Science — Advanced and Specialization Modules in Mathematics

In this area of study, modules with a total volume of 24 LP must be completed. All modules must be assigned to either the focus Scientific Computing ("S") or Analytics ("A"). If the Analytics concentration is selected, the module Measurement and Integration Theory is a compulsory module.

List of modules in this area of study:

Sorted: alphabetical, by classification, by level and CP

Advanced module, 6 CP

• Measure and Integration Theory (Advanced module, 6 CP, A)

Specialization module, 3 CP

• Asymptotical Statistics (Specialization module, 3 CP, A)
• Small Specialization Module Stochastics without Tutorial (Specialization module, 3 CP, A)

Specialization module, 6 CP

• Compressive Sensing (Specialization module, 6 CP, S)
• Extreme Value Theory (Specialization module, 6 CP, A)
• Finite Frames (Specialization module, 6 CP, S)
• High-dimensional Statistics (Specialization module, 6 CP, A)
• Non-smooth Optimization (Specialization module, 6 CP, S)
• Nonparametric Statistics (Specialization module, 6 CP, A)
• Numerical Solution Methods for Elliptical Partial Differential Equations (Specialization module, 6 CP, S)
• Small Specialization Module Numerical Mathematics/Optimization (Specialization module, 6 CP, S)
• Small Specialization Module Optimization (Specialization module, 6 CP, S)
• Small Specialization Module Stochastics (Specialization module, 6 CP, A)
• Stochastic Optimization (Specialization module, 6 CP, S)
• Time Series Analysis (Specialization module, 6 CP, A)
• Wavelet Analysis I (Specialization module, 6 CP, S)

Specialization module, 9 CP

• Approximation Theory (Specialization module, 9 CP, S)
• Combinatorics (Large Specialization Module) (Specialization module, 9 CP, A)
• Large Specialization Module Numerical Mathematics/Optimization (Specialization module, 9 CP, S)
• Large Specialization Module Optimization (Specialization module, 9 CP, S)
• Large Specialization Module Stochastics (Specialization module, 9 CP, A)
• Mathematical Statistics (Specialization module, 9 CP, A)
• Nonlinear Optimization (Specialization module, 9 CP, S)
• Numerical Solution Methods for Differential Equations (Specialization module, 9 CP, S)
• Numerical Solution Methods for Finite Dimensional Problems (Specialization module, 9 CP, S)
• Probabilistic Combinatorics (Specialization module, 9 CP, A)
• Probability Theory (Specialization module, 9 CP, A)
• Stochastical Analysis (Specialization module, 9 CP, A)

Please note:

This page applies to the most current examination regulations in Winter semester 2019/20. 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
• 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)

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.