M.Sc. Artificial Intelligence Engineering

Teaching Language: German

About the studyprogram


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.


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.


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

Sommersemester 2024 (version from 12.04.2024)

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.

11152: ERP - Integrierte betriebliche Systeme →

11289: Softwaretechnik →

11859: Cryptography →

11863: Hands on Knowledge for Side Channel Attacks →

12447: Data Warehouses / Data-Warehouse-Technologien →

12461/12462/12463: Emerging Topics in Computer Architecture / Neue Entwicklungen in der Rechnerarchitektur →

12461/12462/12463: Fortgeschrittene Methoden der Softwaretechnik →

12461/12462/12463: Neuroadaptive Technology →

12790: Seminar Advanced Topics in Network and System Security →

12973: Network and System Security →

13490: Secure Cyber-Physical Systems →

13838: Information Retrieval →

13840: Data Warehouses →

13842: Virtual Reality and Agents →

13874: Introduction to Numerical Linear Algebra →

11290: Praktikum Softwaretechnik →

11352: Informations- und Kodierungstheorie →

11415: Graphentheorie →

11450: Effiziente Algorithmen →

11862: Pervasive System Security →

11864: Wireless Sensor Networks: Concepts, Protocols and Applications →

11889: Introduction to Cyber Security →

12339: Betriebssysteme II (Speicherverwaltung: Mechanismen und Strategien) →

12416: Praktikum Betriebssysteme →

12418: Praktikum Verteilte und Parallele Systeme →

12422: Datenbanktechnologie →

12432: Verteilte und Parallele Systeme II (Nebenläufigkeit, Replikation, Konsistenz) →

12458: Algebraische Rechenmodelle →

12474: Praktikum Programmiersprachen und Compilerbau →

12517: Verteilte und Parallele Systeme III (Middleware Fallstudien) →

12518: Betriebssysteme III (Fallstudien) →

12826: Mathematical Data Science →

12882: Embedded Real-Time Systems →

13839: Advanced Database Models →

14013: Conversational Artificial Intelligence: History, Application, Future →

14021: Explainable Machine Learning →

14034: Languages of Artificial Intelligence →

The provided Modules and Associations are subject to change without notice and may not be complete!