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M.Sc. Data Science — Index Sorted by Level and Credit Points
Basic module, 3 CP
- Remote Sensing (Application Area Modules )
Basic module, 6 CP
- Infection Biology (Application Area Modules )
- Introduction to Cultural Data Studies (Application Area Modules )
Basic module, 9 CP
- Basics of Biochemistry, Molecular Biology and Human Genetics (Application Area Modules )
Advanced module, 12 CP
- Psycho- and Neurolinguistics I (Application Area Modules )
Advanced module, 6 CP
- Data Management in the Humanities and Social Sciences (Application Area Modules )
- Design and Administration of Databases (Free Compulsory Elective Modules )
- Environmental Systems (Application Area Modules )
- Fundamental IoT Sensor Technologies To Measure Physical And Non-physical Parameters (Free Compulsory Elective Modules )
- Geoinformationsystems (Application Area Modules )
- Introduction to Bioinformatics (Free Compulsory Elective Modules )
- Introduction to Cryptography and its Applications (Free Compulsory Elective Modules )
- Measure and Integration Theory (Free Compulsory Elective Modules )
- NoSQL Database Systems (Free Compulsory Elective Modules )
- Small Advanced Module Computer Science 1 (Free Compulsory Elective Modules )
- Small Advanced Module Computer Science 2 (Free Compulsory Elective Modules )
- Small Advanced Module Computer Science 3 (Free Compulsory Elective Modules )
- Small Advanced Module Computer Science 4 (Free Compulsory Elective Modules )
- Small Advanced Module Computer Science 5 (Free Compulsory Elective Modules )
- Software Design and Programming Techniques (Free Compulsory Elective Modules )
Advanced module, 9 CP
- Computer Networks (Free Compulsory Elective Modules )
- Distributed Data Management (Free Compulsory Elective Modules )
- Efficient Algorithms (Free Compulsory Elective Modules )
- Graphics Programming (Free Compulsory Elective Modules )
- IT-Security (Free Compulsory Elective Modules )
- Large Advanced Module Computer Science 1 (Free Compulsory Elective Modules )
- Large Advanced Module Computer Science 2 (Free Compulsory Elective Modules )
- Large Advanced Module Computer Science 3 (Free Compulsory Elective Modules )
- Large Advanced Module Computer Science 4 (Free Compulsory Elective Modules )
- Large Advanced Module Computer Science 5 (Free Compulsory Elective Modules )
- Logic (Free Compulsory Elective Modules )
- Machine Learning (Free Compulsory Elective Modules )
- Matrix Methods in Data Analysis (Compulsory Elective Modules in Mathematics , Free Compulsory Elective Modules )
- Numerical Analysis (Compulsory Elective Modules in Mathematics , Free Compulsory Elective Modules )
- Software Quality (Free Compulsory Elective Modules )
- Statistics (Compulsory Elective Modules in Mathematics , Free Compulsory Elective Modules )
- Theoretical Computer Science (Free Compulsory Elective Modules )
- Topological Methods in Data Analysis (Compulsory Elective Modules in Mathematics , Free Compulsory Elective Modules )
Specialization module, 12 CP
- Current Issues in Research (M7) (Application Area Modules )
Specialization module, 3 CP
- Small Specialization Module Stochastics without Tutorial (Free Compulsory Elective Modules )
Specialization module, 6 CP
- Advanced Methods of System Development (Free Compulsory Elective Modules )
- Advanced Topics in Cryptography (Free Compulsory Elective Modules )
- Algorithmic Network Analysis (Free Compulsory Elective Modules )
- Algorithms in Bioinformatics (Free Compulsory Elective Modules , Application Area Modules )
- Artificial Intelligence (Free Compulsory Elective Modules )
- Cloud Computing (Free Compulsory Elective Modules )
- Content-based Image and Video Analysis (Free Compulsory Elective Modules )
- Data Analysis in the Humanities and Social Sciences (Application Area Modules )
- Data Integration (Free Compulsory Elective Modules )
- Data Science in Biomedicine (Free Compulsory Elective Modules , Application Area Modules )
- Dialog Systems (Free Compulsory Elective Modules , Application Area Modules )
- Distributed Systems (Free Compulsory Elective Modules )
- Environmental Informationsystems I (Application Area Modules )
- Environmental Informationsystems II (Application Area Modules )
- Ethical Hacking and Practical Cryptanalysis (Free Compulsory Elective Modules )
- Geo Databases (Free Compulsory Elective Modules , Application Area Modules )
- High-dimensional Statistics and Machine Learning (Free Compulsory Elective Modules )
- Index and Storage Structures (Free Compulsory Elective Modules )
- Information Retrieval (Free Compulsory Elective Modules )
- Introduction to Natural Language Processing (Free Compulsory Elective Modules , Application Area Modules )
- Neural Networks (Free Compulsory Elective Modules )
- Operating Systems (Free Compulsory Elective Modules )
- Parameterized Algorithms (Free Compulsory Elective Modules )
- Small Specialization Module Computer Science 1 (Free Compulsory Elective Modules )
- Small Specialization Module Computer Science 2 (Free Compulsory Elective Modules )
- Small Specialization Module Computer Science 3 (Free Compulsory Elective Modules )
- Small Specialization Module Computer Science 4 (Free Compulsory Elective Modules )
- Small Specialization Module Computer Science 5 (Free Compulsory Elective Modules )
- Small Specialization Module Numerical Mathematics/Optimization (Free Compulsory Elective Modules )
- Small Specialization Module Stochastics (Free Compulsory Elective Modules )
- Software Evolution (Free Compulsory Elective Modules )
- Software as a Medical Device (Free Compulsory Elective Modules )
- Statistical Bioinformatics (Free Compulsory Elective Modules , Application Area Modules )
- Virtual Machines (Free Compulsory Elective Modules )
- Visual Languages (Free Compulsory Elective Modules )
- Web Technologies (Free Compulsory Elective Modules )
Specialization module, 9 CP
- Advanced Algorithmics (Free Compulsory Elective Modules )
- Algorithm Engineering (Free Compulsory Elective Modules )
- Approximation Theory (Free Compulsory Elective Modules )
- Image Synthesis (Free Compulsory Elective Modules )
- Implementation of Database Systems (Free Compulsory Elective Modules )
- Large Specialization Module Computer Science 1 (Free Compulsory Elective Modules )
- Large Specialization Module Computer Science 2 (Free Compulsory Elective Modules )
- Large Specialization Module Computer Science 3 (Free Compulsory Elective Modules )
- Large Specialization Module Computer Science 4 (Free Compulsory Elective Modules )
- Large Specialization Module Computer Science 5 (Free Compulsory Elective Modules )
- Large Specialization Module Numerical Mathematics/Optimization (Free Compulsory Elective Modules )
- Large Specialization Module Stochastics (Free Compulsory Elective Modules )
- Mathematical and Nonparametric Statistics (Free Compulsory Elective Modules )
- Model-driven Software Development (Free Compulsory Elective Modules )
- Modern Methods of System Development (Free Compulsory Elective Modules )
- Multimedia Signal Processing (Free Compulsory Elective Modules )
- Numerical Solution Methods for Differential Equations (Free Compulsory Elective Modules )
- Numerical Solution Methods for Finite Dimensional Problems (Free Compulsory Elective Modules )
- Probabilistic Combinatorics (Compulsory Elective Modules in Mathematics , Free Compulsory Elective Modules )
- Probability Theory (Free Compulsory Elective Modules )
- Stochastical Analysis (Free Compulsory Elective Modules )
Practical module, 12 CP
- Project Work Data Science (Practical and Seminar Modules )
Practical module, 6 CP
- Cultural Data Management Lab (Application Area Modules )
- Software Development Tools for Data Science Applications (Application Area Modules )
Profile module, 3 CP
- Selected Advanced Topics in Computer Science ("Seminar") (Practical and Seminar Modules )
- Selected Advanced Topics in Computer Science / Data Science ("Seminar") (Practical and Seminar Modules )
- Selected Advanced Topics in Mathematics / Data Science ("Seminar") (Practical and Seminar Modules )
- Selected Advanced Topics in Mathematics A ("Seminar") (Practical and Seminar Modules )
Profile module, 6 CP
- Data Science internship Computational Science (Application Area Modules )
- Data Science internship focus on Genetic Epidemiology (Application Area Modules )
- Data Science internship focus on infection biology (Application Area Modules )
- Data Science internship focus on neuro biology (Application Area Modules )
- Data Science internship focus on tumor biology (Application Area Modules )
Profile module, 9 CP
- Independent Scientific Practice Data Science (Practical and Seminar Modules )
Thesis module, 30 CP
- Master Thesis (Final Module )
See also: Areas of study in this course, Alphabetical index of all modules in this course
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
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- 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.