About the studyprogram
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
Sommersemester 2023 (version from 21.03.2023)
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.
11102: Lineare Algebra und analytische Geometrie II →
11104: Analysis II →
11859: Cryptography →
12464: Modeling and Simulation of Discrete Systems →
12973: Network and System Security →
13220: Modeling in Mixed-Integer Optimization →
13490: Secure Cyber-Physical Systems →
13849: Introduction to Computational Neuroscience →
13874: Introduction to Numerical Linear Algebra →
14015: Introduction to Mathematical Methods in Artificial Intelligence →
11201: Analysis III →
11449: Strukturelle Komplexitätstheorie →
11509: Designing and Understanding Psychological Experiments →
11787: Theoretische Informatik →
11886: Dependability and Fault Tolerance →
11889: Introduction to Cyber Security →
12433: Multiagenten-Systeme →
12458: Algebraische Rechenmodelle →
12471: Ausgewählte Kapitel der Theoretischen Informatik →
13843: Scientific Computing →
13844: Functional Analysis →
13863: Mathematical Statistics →
13911: Algebra: Structures and Algorithms →
13715: Causal Data Science in Business and Economics →
13846: Learning in Real and Virtual Humans →
13847: Cognitive Systems: Behavior Control →
13942: Foundations of Psychophysiology →
11333: Optimierung II →
11847: Neural Networks and Learning Theory →
12472: Einführung in die Constraint-Programmierung →
12826: Mathematical Data Science →
13335: Brain-Computer Interfaces (BCIs) for Neuroadaptive Technology →
11911: Grundzüge der Kognition und Wahrnehmung →
13668: Sensorimotor Processing in Health and Disease →
13838: Information Retrieval →
13840: Data Warehouses →
13842: Virtual Reality and Agents →
13889: Stochastic Processes →
13908: Experimental techniques in physics supported with AI/ML →
13912: Coding Theory →
13949: Differential Geometry →
13963: Neuromorphic Computing and Engineering →
11881: Foundations of Data Mining →
13500: Introduction to Neural Signal Analysis →
13593: Applied Algebraic Quantum Theory →
13813: Logic in Databases →
13839: Advanced Database Models →
13841: Speech Processing →
13845: Multimedia Retrieval →
The provided Modules and Associations are subject to change without notice and may not be complete!