Introduction
What You Can Expect from Master@IBM:
✅ Financial independence from day one – with an attractive salary
1st year: €1,904 gross/month
2nd year: €2,484 gross/month
3rd year: €2,751 gross/month
✅ An employment contract with a 38-hour workweek, including 10 hours dedicated to university studies!
✅Master studies at recommended German university (of your choice) offering part-time studies (like ESB Reutlingen, HECTOR School/KIT, FOM and others)
✅ Full coverage of tuition and semester fees, plus travel expenses to your university
✅ State-of-the-art equipment, such as a MacBook, iPhone & more
✅ Personalized development through hands-on training, job shadowing, and career coaching
✅ Master’s thesis in collaboration with your department, ensuring a seamless link between theory and practice
✅ A strong prospect of full-time employment after graduation and promising career opportunities at IBM
Apply now and start your future with Master@IBM! 🚀
We look forward to receiving your application!
Your Role And Responsibilities
Do you want to pursue a Master’s degree while gaining valuable hands-on experience at one of the world’s leading technology companies?
Then Master@IBM work&study is the perfect opportunity for you!
As a participant in this program, you will combine a part-time Master’s degree with exciting projects and cutting-edge technologies in a dynamic work environment. Throughout your studies, you will be actively involved in our company, apply your knowledge in real-world scenarios, and build strong professional connections for your future career.
Required Technical And Professional Expertise
What you bring
🎓 Bachelor's degree in Business Informatics, Computer Science, Information Systems or a related field
- Strong passion for optimizing business processes and automating workflows
🛠 Strong problem-solving & multitasking skills
📢 Excellent communication & teamwork abilities
🗣 Fluent in German & English (spoken and written)
👉 Keen interest in contributing to multinational business automation projects
👉 Solid understanding of data structures, APIs, and scripting languages (e.g., Python, JavaScript) for automation