AI Engineering * (Bachelor's)

New starting in the 2026/2027 winter semester

(Applications open: late May 2026)

Do you want to do more than just use AI models—do you want to understand how they work technically and develop them yourself? Do you want to learn not to blindly accept AI results, but to critically evaluate them and combine them with solid engineering knowledge? Then enroll in the new Bachelor’s program in AI Engineering and solve the engineering problems of the future with AI—for example, by enabling products to be developed faster, more efficiently, and more sustainably.

The AI Engineering bachelor’s program imparts skills at the intersection of engineering and artificial intelligence. The focus is on the use of Artificial Intelligence (AI) as a tool to support engineering processes. You will learn to apply AI systems in a problem-oriented manner, critically evaluate their results, and link them to technical expertise.

In addition to fundamentals in computer science, mathematics, and engineering, the program emphasizes AI literacy—the ability to understand, critically evaluate, responsibly use, and interact with artificial intelligence—as well as data literacy—the ability to critically collect, manage, evaluate, apply, and interpret data—and the responsible use of AI.

Job Description and Labor Market

The growing prevalence of artificial intelligence is fundamentally changing the way engineers work. Data-driven and exploratory approaches are gaining importance in place of purely deterministic methods. Graduates of the AI Engineering program are prepared to apply AI-supported tools in engineering activities and to interpret and critically evaluate their results from a technical perspective. They combine technical expertise with skills in working with AI systems and contribute to the development of technical solutions that take safety, sustainability, and social responsibility into account. The program thus responds to a growing need for professionals who can integrate AI competently and responsibly into work processes.

  • Application of AI in engineering processes
  • Support for requirements analysis, design, and simulation
  • Evaluation and validation of AI-generated results
  • Development of data-driven solutions
  • Application of AI in various engineering disciplines
  • Integration of AI into technical work processes
  • Reflection on impacts on safety and sustainability
  • Collaboration between humans and AI in development processes
  • Use of AI to increase efficiency
  • Work on digital and data-driven systems

What Makes the Program in Clausthal Unique

The program consistently follows the “AI as a Tool” approach and focuses on the use of artificial intelligence to support engineering activities. Project-based teaching formats run throughout the entire program and enable students to apply theoretical concepts in real-world contexts. As a student, you will work in small teams on practical assignments and systematically reflect on the use of AI. Close supervision and the interdisciplinary orientation promote individual learning. 

Program Structure

The program is designed as a six-semester bachelor’s degree program. In the first semester, all students acquire a common foundation in computer science, mathematics, and engineering and gain an overview of the program tracks. Starting in the second semester, students select a program track. The foundational training continues through the third semester, after which the focus shifts to the chosen specialization.
Project-based learning runs throughout the program and enables the practical application of course content.
In the final semesters, students develop their individual profiles and complete their bachelor’s thesis. The content of the profiles includes: Fundamentals of Computer Science, Fundamentals of AI, Programming, Engineering Mathematics, Statistics

Fields of study

Industrial internship

The undergraduate program does not include a mandatory industry internship. However, practical components are integrated through extensive project-based teaching formats.

Study program director

Prof. Dr. Andreas Rausch

Phone: +49 5323 72-7177
Email: andreas.@.rauschtu-clausthal
de Institute for Software and Systems Engineering
Arnold-Sommerfeld-Straße 1
38678 Clausthal-Zellerfeld