Dual Study Program (Data Science & AI)

Quick Facts

• 3-year dual study program starting 1 September 2027
• Focus: Data Science & AI alongside IT and Land Transport/Forwarding
• Practical training: Head Office in Kempten (Digital Product Group Road Logistics)
• Theory: DHBW Mannheim or DHBW Lörrach

Description

Participate in a three-year dual study program combining theory and practice with a focus on IT and Data Science & AI. In practice, you support digital transformation and help develop and specify requirements for the TMS-ROAD system. In theory, you gain core knowledge in informatics, mathematics, and statistics and deepen skills in programming, data management, AI, Machine Learning, and Intelligence Engineering.

Responsibilities

• Support the digital transformation and operational excellence in Road Logistics
• Contribute to creating and concretizing requirements for the TMS-ROAD system
• Develop and propose ideas for further system improvements
• Learn day-to-day operations and processes in a German branch (national land transport)
• Complete an individual project during the study, including the option to visit a European branch

Requirements

• General university entrance qualification or university of applied sciences entrance qualification with good results, or meet the access requirements of the university
• Interest in solving challenging tasks and in mathematics
• Interest in logistics processes, artificial intelligence, IT systems, and programming
• Organizational talent and ability to plan workflows
• Communicative and comfortable speaking English
• Teamwork skills and enjoyment of collaborating in a team
• First practical experience in logistics or IT is an advantage

Benefits

• Structured 3-year dual study with 3-month alternating theory and practice phases
• Flexible additional benefits, events, workshops, trade fairs, and projects
• Coverage of study fees and training materials (various costs assumed)
• Student network and individual mentoring by tutors
• Possibility of an international practical assignment