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This entry is from Winter semester 2016/17 and might be obsolete. You can find a current equivalent here.
B.Sc. Data Science — Index Sorted by Level and Credit Points
Basic module, 9 CP
- Algorithms and Data Structures (Basic Modules in Computer Science )
- Basic Linear Algebra (Basic Modules in Mathematics )
- Basic Real Analysis (Basic Modules in Mathematics )
- Declarative Programming (Compulsory Elective Modules in Computer Science )
- Object-oriented Programming (Basic Modules in Computer Science )
- System Software and Computer Communication (Basic Modules in Computer Science )
- Technical Computer Science (Basic Modules in Computer Science )
Advanced module, 3 CP
- Selected Topics in Computer Science (Seminar) (Advanced Modules in Computer Science )
- Selected Topics in Mathematics (Seminar) (Compulsory Elective Modules in Mathematics )
Advanced module, 6 CP
- Advanced Module Numerical Mathematicss/Optimization (6 ECTS) (Compulsory Elective Modules in Mathematics )
- Advanced Module Stochastics (6 ECTS) (Compulsory Elective Modules in Mathematics )
- Algorithms in Bioinformatics (Compulsory Elective Modules in Computer Science )
- Discrete Geometry (Compulsory Elective Modules in Mathematics )
- Software Engineering (Advanced Modules in Computer Science )
- Statistics (Compulsory Elective Modules in Mathematics )
Advanced module, 9 CP
- Advanced Module Numerical Mathematics/Optimization (9 ECTS) (Compulsory Elective Modules in Mathematics )
- Advanced Module Stochastics (9 ECTS) (Compulsory Elective Modules in Mathematics )
- Basics of Advanced Mathematics (Advanced Modules in Mathematics )
- Computer Networks (Compulsory Elective Modules in Computer Science )
- Database Systems (Advanced Modules in Computer Science )
- Discrete Mathematics (Compulsory Elective Modules in Mathematics )
- Efficient Algorithms (Advanced Modules in Computer Science )
- Elementary Stochastics (Advanced Modules in Mathematics )
- Graphics Programming (Compulsory Elective Modules in Computer Science )
- IT-Security (Compulsory Elective Modules in Computer Science )
- Knowledge Discovery (Compulsory Elective Modules in Computer Science )
- Logic (Compulsory Elective Modules in Computer Science )
- Machine Learning (Advanced Modules in Computer Science )
- Mathematical Data Analysis (Compulsory Elective Modules in Mathematics )
- Numerical Analysis (Compulsory Elective Modules in Mathematics )
- Optimization (Advanced Modules in Mathematics )
- Theoretical Computer Science (Compulsory Elective Modules in Computer Science )
Specialization module, 6 CP
- Data Integration (Compulsory Elective Modules in Computer Science )
- Geo Databases (Compulsory Elective Modules in Computer Science )
- Information Retrieval (Compulsory Elective Modules in Computer Science )
- Parallel and Distributed Algorithms (Compulsory Elective Modules in Computer Science )
- Web Technologies (Compulsory Elective Modules in Computer Science )
Specialization module, 9 CP
- Multimedia Signal Processing (Compulsory Elective Modules in Computer Science )
Practical module, 6 CP
- Advanced Software Lab for Big Data (Practical Modules )
- Internship Stochastics (Practical Modules )
- Programming Lab (Practical Modules )
- Software Lab (Practical Modules )
Thesis module, 12 CP
- Bachelor 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 2016/17. 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.