About the studyprogram
Research-oriented
Students who study Artificial Intelligence Engineering 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.
Hard- and Softwaresystems
Integrate algorithms into hardware and software systems while exploring application areas 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 Engineering with a self-designed study plan and use your knowledge from computer science, electrical engineering and psychology to research, explain and design complex hardware / software-based AI systems. Our master's degree AI Engineering is ideal for a career with AI Systems or as preparation for a subsequent PhD.
Inform yourself and decide for
your AI-Engineering 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 16.11.2025)
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.
11865: Allgemeine Physik I (Mechanik, Thermodynamik) →
11867: Allgemeine Physik III (Optik, Atome und Moleküle) →
11886: Dependability and Fault Tolerance →
12284: Elektrodynamik →
12976: Processor Architecture →
13009: Semiconductor Technology →
33328: Introduction to Radio Frequency Technique (Grundlagen der Hochfrequenztechnik) →
11374: Einführung in die Künstliche Intelligenz →
12472: Einführung in die Constraint-Programmierung →
13335: Brain-Computer Interfaces (BCIs) for Neuroadaptive Technology →
13467: Medienwissenschaftliches Doktorandenkolloquium →
13467: Methods and Analysis from the perspective of media psychology →
13467: Projektseminar zur Analytischen Medienwissenschaft →
13813: Logic in Databases →
13846: Learning in Real and Virtual Humans →
13849: Introduction to Computational Neuroscience →
13942: Foundations of Psychophysiology →
33432: Medienwissenschaftliches Doktorandenkolloquium →
33432: Methods and Analysis from the perspective of media psychology →
11152: ERP - Integrierte betriebliche Systeme →
11352: Informations- und Kodierungstheorie →
11415: Graph Theory →
11862: Pervasive System Security →
11864: Wireless Sensor Networks: Concepts, Protocolls and Applications →
11889: Introduction to Cyber Security →
12416: Praktikum Betriebssysteme (Master) →
12462: Technische Informatik (Seminar Computer Engineering) →
12462: Spezielle Modelle und Verfahren für das Tourenplanungsproblem (VRP) →
12463: Technische Informatik (Seminar Computer Engineering) →
12463: Neuroadaptive Technology →
12474: Programmiersprachen und Compilerbau →
12517: Verteilte und Parallele Systeme III →
12790: Research Seminar "Advanced Topics in Network and System Security" →
12882: Embedded Real-Time Systems →
14013: Conversational Artificial Intelligence: History, Application, Future →
14021: Explainable Artificial Intelligence →
14034: Languages of Artificial Intelligence →
The provided Modules and Associations are subject to change without notice and may not be complete!