Brandenburg University of Technology Cottbus - Senftenberg

Programme overview

The Bachelor of Science in Künstliche Intelligenz at BTU Cottbus–Senftenberg focuses on methods and algorithms used in current and future AI applications. The curriculum emphasises techniques inspired by natural intelligence and covers areas such as neural networks, machine learning, machine vision, knowledge representation and language interpretation. The programme is taught in German, runs full time over 6 semesters, starts in the winter semester and is offered on the Zentralcampus Cottbus.

What you'll study

Study content brings together computer science, psychology and mathematics to develop and apply AI procedures. Key topics named by the programme include:

• Neural networks and machine learning methods
• Machine vision (maschinelles Sehen)
• Knowledge representation (Wissensrepräsentation)
• Language interpretation (Sprachinterpretation)
• Application areas such as robotics, cyber security, Big Data, medical data analysis and intelligent control of technical systems (for example power plants)

Students are prepared to independently tackle diverse practical tasks and to critically assess limits and societal impacts of AI.

Entry requirements

Admission requires either Allgemeine Hochschulreife (Abitur) or Fachhochschulreife (Fachabitur). The programme is zulassungsfrei (no central admission restriction).

Career prospects

Graduates can work in data science, mathematical or medical data analysis, algorithm and AI method development (including machine learning), scientific or mathematical treatment of AI questions, autonomous driving and assistance systems, and intelligent control domains such as supply chains or the energy and environmental sector. The programme also lists related MSc options such as Artificial Intelligence M.Sc., Informatik M.Sc., and Künstliche Intelligenz Technologie M.Sc.

Scholarships & funding angle

BTU highlights strong regional research and industry ties—students may engage with partners like the Lausitzer Zentrum für Künstliche Intelligenz (LZKI), IHP, DLR, Fraunhofer institutes and Rolls‑Royce on research projects, which can support practical experience and project funding opportunities. For formal scholarships or funding, prospective students should consult BTU’s central scholarship and international offices and explore regional industry programmes.