BBC Cellpack was founded in 1935 in Vilmergen, Switzerland, as a successor to Dreifuss Brothers AG.

Originally focused on cellophane packaging, the company quickly evolved through the pioneering spirit of the Dreifuss brothers, who recognized the potential of new materials and developed high-quality industrial goods. This innovative mindset laid the foundation for decades of progress

With the launch of Cellpack GmbH in Waldshut-Tiengen in 1967, the company expanded into fibre-reinforced plastics and cable technologies, serving the European market with increasing strength.

Continuous growth led to new production sites in Tiengen and Radeberg, supported by a global network of offices. Since 2003, as part of the BBC Group, BBC Cellpack Electrical Products has thrived under agile leadership - employing around 300 people and delivering trusted solutions worldwide.

This study program combines data science, artificial intelligence, and modern production systems. Students learn how to analyze large datasets, develop machine learning models, and apply AI solutions to industrial processes.

During the practical phases, you will gain experience in various technical and commercial departments and actively contribute to projects such as:

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement
• Automation of reporting and data analysis
• Implementation of Industry 4.0 and Smart Factory projects
• Digitalization of production and business processes
• Participation in innovation and research projects

You will gain comprehensive insights into the operations of an internationally active industrial company and take on responsibility early in your career.

Your Studies

• Degree: Bachelor of Science (B.Sc.) with 210 ECTS credits

Your Profile

• General higher education entrance qualification (Abitur) or university of applied sciences entrance qualification with DHBW admission eligibility
• Strong performance in Mathematics, Computer Science, and English
• Enthusiasm for data, technology, and artificial intelligence
• Analytical mindset and problem-solving skills
• Interest in industrial processes and digitalization
• Team spirit and initiative
• Curiosity and willingness to learn new technologies

• Duration: 3 years / 6 semesters
• Alternating theory and practical phases
• Varied activities and significant creative freedom
• A crisis-proof, permanent employment contract
• 13th-month salary and holiday bonus
• Flexible working hours without core hours and home office option (40%)
• 30 days of vacation
• Corporate Benefits
• Social events (skiing/hiking days, summer parties, etc.)
• Attractive social benefits and comprehensive accident insurance (professional + private)
• JobRad (bicycle leasing) and subsidies for public transport (Jobticket)
• Free e-charging stations for electric cars and e-bikes