Germany
ALTEN
MAHLE
Dual Study Program: Data Science and Artificial Intelligence 2027 (m/f/d)
Germany
Stuttgart, Baden-Württemberg, Germany
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About the opportunity
Areas of Study
- Acquisition of interdisciplinary skills with interfaces to engineering, computer science, and innovation
- Data-based systems, artificial intelligence, and machine learning
- Data analysis and evaluation
- Practical phases in various departments, such as R&D, IT Innovations & Digitalization, Digital Production, IT Security
- Selection and implementation of a specialization according to the focus areas offered by the company: AI System Development (development, implementation, and application of AI systems) or Digital Production (data-driven digitalization and optimization of production processes)
Program Duration
- 3 years
Do you have questions?
ANGELIKA.KREUSELBERG@MAHLE.COM
+49 711 501-10334
Minimum requirements
Requirements
- General higher education entrance qualification/subject-restricted higher education entrance qualification or technical college entrance qualification with Delta examination (DHBW)
- Interest in digital technologies, engineering, and computer science
- Technical, analytical, and logical thinking skills
- German language level C1
- Good English skills
- Communication and teamwork skills
- Initiative and motivation
Required Application Documents
- Compelling cover letter
- Resume/CV
- The last three current semester reports
- Relevant certificates (e.g., for internships, further training, or other qualifications)
What We Offer
- Attractive remuneration (1st year: 1.348,00€, 2nd year: 1.622,00€, 3rd year: 1.892,50€)
- Comprehensive social benefits
- Opportunity for a semester abroad
- Modern work equipment and digital learning platforms
- Intensive onboarding
- Personal support from the training team
- Individual further training options
- Very good prospects of being hired
- 35-hour week, flexible working hours, and 30 vacation days
#TeamMAHLE is diverse, and we see that as a great advantage! We welcome applications from individuals with diverse experiences, backgrounds, and identities.
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