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M.Sc. Data Science — Free Compulsory Elective Modules

In this area of study, modules totaling at least 24 CP must be selected from computer science modules ("I"). In addition, depending on whether a focus area is chosen and on its scope as well as on whether a second seminar is chosen, further modules from computer science ("I") and mathematics ("M") of up to 24 CP may be chosen. At most 18 CP may be chosen from advanced modules. The credit points of the study areas Free Compulsory Elective Modules, Application Area Modules, and Practical and Seminar Modules must total 72 CP.

List of modules in this area of study:

Sorted: alphabetical, by classification, by level and CP

Advanced module, 6 CP

• Design and Administration of Databases (Advanced module, 6 CP, I)
• Fundamental IoT Sensor Technologies To Measure Physical And Non-physical Parameters (Advanced module, 6 CP, I)
• Introduction to Bioinformatics (Advanced module, 6 CP, I)
• Introduction to Cryptography and its Applications (Advanced module, 6 CP, I)
• Measure and Integration Theory (Advanced module, 6 CP, M)
• NoSQL Database Systems (Advanced module, 6 CP, I)
• Small Advanced Module Computer Science 1 (Advanced module, 6 CP, I)
• Small Advanced Module Computer Science 2 (Advanced module, 6 CP, I)
• Small Advanced Module Computer Science 3 (Advanced module, 6 CP, I)
• Small Advanced Module Computer Science 4 (Advanced module, 6 CP, I)
• Small Advanced Module Computer Science 5 (Advanced module, 6 CP, I)
• Software Design and Programming Techniques (Advanced module, 6 CP, I)

Advanced module, 9 CP

• Computer Networks (Advanced module, 9 CP, I)
• Distributed Data Management (Advanced module, 9 CP, I)
• Efficient Algorithms (Advanced module, 9 CP, I)
• Graphics Programming (Advanced module, 9 CP, I)
• IT-Security (Advanced module, 9 CP, I)
• Large Advanced Module Computer Science 1 (Advanced module, 9 CP, I)
• Large Advanced Module Computer Science 2 (Advanced module, 9 CP, I)
• Large Advanced Module Computer Science 3 (Advanced module, 9 CP, I)
• Large Advanced Module Computer Science 4 (Advanced module, 9 CP, I)
• Large Advanced Module Computer Science 5 (Advanced module, 9 CP, I)
• Logic (Advanced module, 9 CP, M)
• Machine Learning (Advanced module, 9 CP, I)
• Matrix Methods in Data Analysis (Advanced module, 9 CP, M)
• Numerical Analysis (Advanced module, 9 CP, M)
• Software Quality (Advanced module, 9 CP, I)
• Statistics (Advanced module, 9 CP, M)
• Theoretical Computer Science (Advanced module, 9 CP, I)
• Topological Methods in Data Analysis (Advanced module, 9 CP, M)

Specialization module, 3 CP

• Small Specialization Module Stochastics without Tutorial (Specialization module, 3 CP, M)

Specialization module, 6 CP

• Advanced Methods of System Development (Specialization module, 6 CP, I)
• Advanced Topics in Cryptography (Specialization module, 6 CP, I)
• Algorithmic Network Analysis (Specialization module, 6 CP, I)
• Algorithms in Bioinformatics (Specialization module, 6 CP, I)
• Artificial Intelligence (Specialization module, 6 CP, I)
• Cloud Computing (Specialization module, 6 CP, I)
• Content-based Image and Video Analysis (Specialization module, 6 CP, I)
• Data Integration (Specialization module, 6 CP, I)
• Data Science in Biomedicine (Specialization module, 6 CP, I)
• Dialog Systems (Specialization module, 6 CP, I)
• Distributed Systems (Specialization module, 6 CP, I)
• Ethical Hacking and Practical Cryptanalysis (Specialization module, 6 CP, I)
• Geo Databases (Specialization module, 6 CP, I)
• High-dimensional Statistics and Machine Learning (Specialization module, 6 CP, M)
• Index and Storage Structures (Specialization module, 6 CP, I)
• Information Retrieval (Specialization module, 6 CP, I)
• Introduction to Natural Language Processing (Specialization module, 6 CP, I)
• Neural Networks (Specialization module, 6 CP, I)
• Operating Systems (Specialization module, 6 CP, I)
• Parameterized Algorithms (Specialization module, 6 CP, I)
• Small Specialization Module Computer Science 1 (Specialization module, 6 CP, I)
• Small Specialization Module Computer Science 2 (Specialization module, 6 CP, I)
• Small Specialization Module Computer Science 3 (Specialization module, 6 CP, I)
• Small Specialization Module Computer Science 4 (Specialization module, 6 CP, I)
• Small Specialization Module Computer Science 5 (Specialization module, 6 CP, I)
• Small Specialization Module Numerical Mathematics/Optimization (Specialization module, 6 CP, M)
• Small Specialization Module Stochastics (Specialization module, 6 CP, M)
• Software Evolution (Specialization module, 6 CP, I)
• Software as a Medical Device (Specialization module, 6 CP, I)
• Statistical Bioinformatics (Specialization module, 6 CP, I)
• Virtual Machines (Specialization module, 6 CP, I)
• Visual Languages (Specialization module, 6 CP, I)
• Web Technologies (Specialization module, 6 CP, I)

Specialization module, 9 CP

• Advanced Algorithmics (Specialization module, 9 CP, I)
• Algorithm Engineering (Specialization module, 9 CP, I)
• Approximation Theory (Specialization module, 9 CP, M)
• Image Synthesis (Specialization module, 9 CP, I)
• Implementation of Database Systems (Specialization module, 9 CP, I)
• Large Specialization Module Computer Science 1 (Specialization module, 9 CP, I)
• Large Specialization Module Computer Science 2 (Specialization module, 9 CP, I)
• Large Specialization Module Computer Science 3 (Specialization module, 9 CP, I)
• Large Specialization Module Computer Science 4 (Specialization module, 9 CP, I)
• Large Specialization Module Computer Science 5 (Specialization module, 9 CP, I)
• Large Specialization Module Numerical Mathematics/Optimization (Specialization module, 9 CP, M)
• Large Specialization Module Stochastics (Specialization module, 9 CP, M)
• Mathematical and Nonparametric Statistics (Specialization module, 9 CP, M)
• Model-driven Software Development (Specialization module, 9 CP, I)
• Modern Methods of System Development (Specialization module, 9 CP, I)
• Multimedia Signal Processing (Specialization module, 9 CP, I)
• Numerical Solution Methods for Differential Equations (Specialization module, 9 CP, M)
• Numerical Solution Methods for Finite Dimensional Problems (Specialization module, 9 CP, M)
• Probabilistic Combinatorics (Specialization module, 9 CP, M)
• Probability Theory (Specialization module, 9 CP, M)
• Stochastical Analysis (Specialization module, 9 CP, M)

Please note:

This page applies to the most current examination regulations in Winter semester 2023/24. 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

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.