Embark on a dual study program in Data Science and Artificial Intelligence at FFT Produktionssysteme GmbH & Co. KG, starting in 2026, combining academic excellence at DHBW with practical experience in innovative production systems.

FFT Produktionssysteme GmbH & Co. KG is seeking motivated students for our Dual Study Program in Data Science and Artificial Intelligence, commencing in 2026 in collaboration with the Baden-Württemberg Cooperative State University (DHBW). This program offers a unique blend of theoretical education and hands-on practical training, preparing you for a dynamic career in the intersection of AI and industrial production systems.

As a dual student, you will alternate between classroom learning at DHBW and applied work at our Fulda facility. Your responsibilities will include assisting in data analysis for production optimization, developing AI models for predictive maintenance, and contributing to intelligent automation projects. You will gain insights into machine learning algorithms, big data processing, and their applications in manufacturing, all while working alongside experienced professionals.

This program is ideal for those passionate about leveraging data-driven technologies to revolutionize production processes. Upon graduation, you will earn a Bachelor's degree in Data Science and Artificial Intelligence, equipped with the skills to excel in a high-demand field. Join us to be at the forefront of Industry 4.0 innovations.

• Completed Abitur or equivalent high school diploma with strong grades in mathematics, computer science, and natural sciences.
• Strong interest in data science, artificial intelligence, and programming.
• Good analytical and problem-solving skills.
• Proficiency in English and German; basic knowledge of Python or similar programming languages is advantageous.
• Ability to work independently and in a team.

• Competitive monthly stipend during the program.
• Practical training in state-of-the-art production environments with exposure to real-world AI projects.
• Flexible working hours to balance studies and work.
• Opportunities for full-time employment upon successful completion.
• Supportive mentorship and professional development workshops.