About the studyprogram
The FSR AI has their own website!
Feel free to check it out.
Research-oriented
Students who study Computer Science at the BTU Cottbus-Senftenberg benefit from an Master's degree based on recognized scientific standards.
Academically qualifying
With the completion of a Master's degree, all doors are open to you - decide for yourself whether you want to pursue a specialized position in industry or a career in science.
Master-Thesis
After a professional internship you set yourself up for your master thesis and you are ready to work on your own scientific work. Your mentor will help you.
Algorithmen und Methoden
Algorithms and methods are the basis for the development of intelligent systems and therefore a necessity for the subject of AI.
Ethical Concerns
Prevent the world from being taken over by robots and discuss what place AI should have in everyday life.
Specialization
Extend your skills and knowledge in a selected area of Artificial Intelligence.
Specialize in AI with a self-designed study plan and use your knowledge from computer science, psychology and mathematics to research, explain and design complex AI methods. Our master's degree AI is ideal for a career in AI or as preparation for a subsequent PhD.
Inform yourself and decide for
your AI studies at BTU
We provide all the important information about the study program and the start of studies for your decision-making process.
Current modules in semester
Wintersemester 2025/2026 (version from 08.10.2025)
Here you can find all modules and categories offered in this semester. Use our Timetable Creator → to create your individual timetable. If you have questions about the module selection, please contact the FSR or the academic advisor.
11201: Analysis III →
11787: Theoretische Informatik →
11886: Dependability and Fault Tolerance →
11889: Introduction to Cyber Security →
13843: Scientific Computing →
13844: Functional Analysis →
13849: Introduction to Computational Neuroscience →
13911: Algebra: Structures and Algorithms →
14015: Introduction to Mathematical Methods in Artificial Intelligence →
14034: Languages of Artificial Intelligence →
14060: Research Module in Artificial Intelligence →
11102: Lineare Algebra und analytische Geometrie II →
11104: Analysis II →
11449: Strukturelle Komplexitätstheorie →
11859: Cryptography →
12458: Algebraische Rechenmodelle →
12973: Network and System Security →
13220: Modeling in Mixed-Integer Optimization →
13490: Secure Cyber-Physical Systems →
13863: Mathematical Statistics →
13874: Introduction to Numerical Linear Algebra →
14186: Image Processing and Computer Vision →
12472: Einführung in die Constraint-Programmierung →
13335: Brain-Computer Interfaces (BCIs) for Neuroadaptive Technology →
13846: Learning in Real and Virtual Humans →
13906: Data Exploration and System Management Using Artificial Intelligence / Machine Learning →
13942: Foundations of Psychophysiology →
14021: Explainable Machine Learning →
11847: Neural Networks and Learning Theory →
12826: Mathematical Data Science →
13569: Biological Neuronal Networks →
13847: Cognitive Systems: Behavior Control →
13873: Recht der Digitalisierung →
11881: Foundations of Data Mining →
13500: Introduction to Neural Signal Analysis →
13813: Logic in Databases →
13949: Differential Geometry →
14085: Graph Theory →
11911: Grundzüge der Kognition und Wahrnehmung →
13593: Applied Algebraic Quantum Theory →
13668: Sensorimotor Processing in Health and Disease →
13838: Information Retrieval →
13839: Advanced Database Models →
13840: Data Warehouses →
13841: Speech Processing →
13842: Virtual Reality and Agents →
13845: Multimedia Retrieval →
13889: Stochastic Processes →
13908: Experimental Techniques in Physics Supported with Artificial Intelligence / Machine Learning →
13912: Coding Theory →
13978: Bioinformatics: Artificial Intelligence and Algorithmic Approaches →
14023: Modeling of Perception and Action →
14810: Bioinformatics →
14038: Computing at Scale in Machine Learning: Distributed computing and algorithmic approaches →
14336: Introduction to Bioinformatics →
14051: Programming Languages and Techniques for Artificial Intelligence Laboratory →
11212: Statistics →
14726: Mathematical Optimization Techniques and Applications →
13392: Differentiable Optimization →
14356: Differentiable Optimization →
The provided Modules and Associations are subject to change without notice and may not be complete!