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B.Sc. Data Science — Alphabetical Index

Advanced Software Lab for Big Data (Practical Modules )
Algorithm Engineering (Free Compulsory Elective Modules )
Algorithmic Network Analysis (Free Compulsory Elective Modules )
Algorithms and Data Structures (Basic Modules in Computer Science )
Algorithms in Bioinformatics (Free Compulsory Elective Modules )
Analysis I (Basic and Continuing Modules in Mathematics )
Analysis II (Basic and Continuing Modules in Mathematics )
Bachelor Thesis (Bachelor thesis )
Basic Real Analysis (Basic and Continuing Modules in Mathematics )
Basics of Advanced Mathematics (Basic and Continuing Modules in Mathematics )
Computer Networks (Free Compulsory Elective Modules )
Content-based Image and Video Analysis (Free Compulsory Elective Modules )
Continuous Optimization (Basic and Continuing Modules in Mathematics )
Data Integration (Free Compulsory Elective Modules )
Data Science in Biomedicine (Free Compulsory Elective Modules )
Database Systems (Continuing Modules in Computer Science )
Declarative Programming (Free Compulsory Elective Modules )
Design and Administration of Databases (Free Compulsory Elective Modules )
Dialog Systems (Free Compulsory Elective Modules )
Discrete Geometry (Free Compulsory Elective Modules )
Discrete Mathematics (Free Compulsory Elective Modules )
Distributed Data Management (Free Compulsory Elective Modules )
Efficient Algorithms (Continuing Modules in Computer Science )
Elementary Number Theory (Free Compulsory Elective Modules )
Elementary Probability and Statistics (Basic and Continuing Modules in Mathematics )
Foundations of Mathematics (Basic and Continuing Modules in Mathematics )
Fundamental IoT Sensor Technologies To Measure Physical And Non-physical Parameters (Free Compulsory Elective Modules )
Geo Databases (Free Compulsory Elective Modules )
Graphics Programming (Free Compulsory Elective Modules )
Group Theory (Free Compulsory Elective Modules )
IT-Security (Free Compulsory Elective Modules )
Information Retrieval (Free Compulsory Elective Modules )
Internship Stochastics (Practical Modules )
Introduction to Bioinformatics (Free Compulsory Elective Modules )
Introduction to Cryptography and its Applications (Free Compulsory Elective Modules )
Introduction to Natural Language Processing (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 )
Large Advanced Module Numerical Mathematics/Optimization (Free Compulsory Elective Modules )
Large Advanced Module Stochastics (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 )
Linear Algebra I (Basic and Continuing Modules in Mathematics )
Logic (Free Compulsory Elective Modules )
Machine Learning (Continuing Modules in Computer Science )
Matrix Methods in Data Analysis (Free Compulsory Elective Modules )
Multimedia Signal Processing (Free Compulsory Elective Modules )
NoSQL Database Systems (Free Compulsory Elective Modules )
Numerical Analysis (Free Compulsory Elective Modules )
Numerical Solution Methods for Finite Dimensional Problems (Free Compulsory Elective Modules )
Object-oriented Programming (Basic Modules in Computer Science )
Operations Research (Free Compulsory Elective Modules )
Optimization I (Free Compulsory Elective Modules )
Parameterized Algorithms (Free Compulsory Elective Modules )
Programming Lab (Practical Modules )
Selected Topics in Computer Science / Data Science A ("Seminar") (Continuing Modules in Computer Science )
Selected Topics in Computer Science / Data Science B ("Seminar") (Free Compulsory Elective Modules )
Selected Topics in Mathematics / Data Science ("Seminar") (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 )
Small Advanced Module Numerical Mathematicss/Optimization (Free Compulsory Elective Modules )
Small Advanced Module Stochastics (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 )
Software as a Medical Device (Free Compulsory Elective Modules )
Statistics (Free Compulsory Elective Modules )
System Software and Computer Communication (Basic Modules in Computer Science )
Technical Computer Science (Free Compulsory Elective Modules )
Theoretical Computer Science (Free Compulsory Elective Modules )
Web Technologies (Free Compulsory Elective Modules )

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:

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.