Artificial Intelligence (AI) in Business (MSc)
SRH University · Berlin, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Berlin
- Apply by
- This programme has no deadline.
- Starts
- Winter and summer semester
- Tuition
- €13,900
Entry requirements and how to apply
- Entry requirements
- To apply for the Master of Science in Artificial Intelligence (AI) in Business programme, you need: A completed Bachelor's degree in Business Administration, Engineering, Mathematics, Physics, Chemistry, Computer Science, Logistics, Law, Agriculture, etc. If you have a 180 ECTS degree, the missing 30 ECTS can be acquired via: Courses at all German universities Courses at the Mobile University Riedlingen (e-learning) Recognition of professional experience, if applicable At least one year of professional experience as a technical expert, manager or project manager (desirable) Curriculum vitae Copy of ID (front and back), copy of national identity card for foreign students
- English language requirement
- B2 required, proof via placement test/interview
- German language requirement
- No minimum language level required
- Application period
- This programme has no deadline listed.
- Apply through
- Please check this website .
About this programme
In the Artificial Intelligence (AI) in Business Master's programme, you'll gain a deep understanding of how to apply modern AI technologies to successful business management and digital innovation. You’ll develop expertise in business processes, digital systems, and strategic leadership—learning not only how AI works, but how to implement it effectively within organisations across technical, strategic, and ethical dimensions. Work on real-world projects using cutting-edge tools like ChatGPT, Google Vertex AI, or Power BI. Prepare to lead transformation and innovation initiatives by mastering decision modelling, low-code development, and agile methodologies like Design Thinking—all while cultivating creative thinking and future skills.
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