Dual Study Programme: Bachelor of Science in Data Science and Artificial Intelligence, 2027
Original title: Duales Studium: Bachelor of Science, Data Science und Künstliche Intelligenz in 2027
This job is at DHL. You apply to them, not to GoAusbildung.
Start Date
October 1, 2027
Sector
Data Science and Artificial Intelligence
Salary
Competitive salary
Listing data as of November 9, 2026
About this Apprenticeship
This three-year dual study programme with DHL AG's fleet management division starts on 1 October 2027. Practical placements in Hannover, Darmstadt, Bonn or Aachen alternate every quarter with classes in Data Science and Artificial Intelligence at DHBW Mannheim. A university place is reserved.
What You'll Learn
- Learn IT projects such as chatbot development and machine learning from the ground up, through both theory and practical work.
- Plan and implement IT systems as a link between developers and business departments, considering technical and commercial factors.
- Assess whether and how IT projects make financial sense for the business.
Requirements
- A good general or subject-specific university entrance qualification, already obtained or completed by the start of the programme. Applicants with a university of applied sciences entrance qualification must demonstrate their ability to study by taking a test. Test dates and further information are available at www.dhbw.de. Include confirmation of test registration with your application.
- Good grades in German, mathematics and English
- Good German skills, at least at C1 level
- Interest in working with IT systems and programming
- Interest in using mathematical ideas and methods to solve problems
What DHL offers
- A reserved university place at DHBW Mannheim.
- Training pay that rises each year, starting at €1,680.96 per month, including during theory phases, plus good employee benefits
- 27 days of paid annual leave
- A top apprentice programme offering special support for the best students
- An optional practical placement abroad for the strongest performers
- Excellent chances of being offered a job and opportunities to develop after successful completion
- Employee offers, including discounts from mobile phone providers, gyms and fashion brands
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