Master of Science in Garching bei München bei SAP

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Would you like to engage with others and use your knowledge and your ideas to help the world run better and improve people’s lives? Do you like taking responsibility right from the start? Are you a good communicator and do you enjoy working in a team?

Are you currently enrolled or do you plan to enroll in a master's program at the Technical University Munich (TUM) in the study programs Informatics, Information Systems with focus area Computational Science and Engineering, Data Engineering and Analytics or Robotics, Cognition, Intelligence or Management and Technology? Would you like to gain practical experience during your studies while working for one of the best employers in the world?

If you've answered “yes” to the above questions, then you should apply for our STAR master's program at SAP.

We are a company that has been repeatedly awarded as a top employer as well as „Fair Vocational Trainer“. Deeply anchored in our corporate values is also caring for our society and assuming social responsibility. As part of this program, you'd be part of “Global Education” within the People & Operations board area. Our Vocational Training (VT)/Student Training and Rotation Program (STAR) program is currently offered in 14 countries and counts around 1,500 students and trainees.

With more than 1200 employees, our SAP Labs Munich is a leading innovation center in the areas of commerce, digital supply chain, mobile development, and artificial intelligence. During your rotating practical phases, you will work in different teams and gain insights into various topics. You will broaden your knowledge in your preferred working fields and prepare yourself for a successful career in the IT industry.

What you'll do

Starting on March 1st, 2025, the program kicks off with a comprehensive five-week onboarding phase in which you will strengthen your technical skills and get to know SAP and your fellow program participants.

Our program provides you with numerous opportunities within SAP. Throughout the program, you will rotate through four different departments (one per semester), which you can choose according to your interests.

The Munich SAP office is located right on the TUM Campus in Garching, offering optimal integration of the program with your studies. You will work an average of 20 hours per week, with flexible working hours to suit your lecture times. In alignment with your rotational team, you can, for instance choose to work just two days a week during lecture periods and full-time during non-lecture periods.

At the end of your studies, in consultation with your university supervisor, you can write a practice-oriented master's thesis with SAP.

For your personal and professional development, there will be plenty of training options for pursuing your individual development goals.

Would you like more information about the program? Then register for one of our info sessions:

Virtual info session on October 17, 2024 from 4.30 pm - 6pm: virtual info session

On-site info session on November 4, 2024 from 4.30 pm - 6pm: on-site info session

Future perspectives

Follow your interests, pursue your individual development goals, and you will find plenty of job opportunities after graduation from university. Start your successful career with SAP!

What you'll bring

• Bachelor's degree with a grade average of 2.5 or better

• Acceptance letter for or enrollment in one of the following master's programs at TUM (starting your master in October 2024 or March 2025):

• Faculty of Informatics: Informatics, Information Systems with focus area Computational Science and Engineering, Data Engineering and Analytics or Robotics, Cognition, Intelligence or

Faculty of Economics: Management and Technology or

Faculty of Mathematics: Mathematics in Data Science

• Advanced knowledge in the pursued master's program (e.g., we expect well-grounded technical expertise and programming as well as data analytics skills for students of Information Systems)

• First professional experience through apprenticeships, long-term internships, or working st