The MBA specializing in Data Analytics & Artificial Intelligence in Berlin prepares you to harness data for actionable business insights. You’ll learn about data technology, applications, and strategies, focusing on operational and strategic decision-making in business. This program gives you a comprehensive understanding of corporate functions and equips you with a variety of tools to address complex management challenges, enhancing your decision-making skills. From day one, you’ll enhance your professional profile, gaining skills critical in today’s data-reliant business environment. This specialization is perfect for careers in business intelligence, data analytics, business transformation, consulting, operations, and marketing intelligence.
Degree awarded by Germany’s Steinbeis University’s Schools of Next Practices (S-Next). S-Next offers a unique approach to higher education, merging traditional academic learning with practical business experience MDi is a registered official partner of S-Next Germany.
STUDY MODEL
On Campus in Berlin
DEGREE
Master of Business Administration 90 ECTS
ELIGIBILITY
3 years Bachelor – 2 years experience or
2 years Bachelor – 7 years experience + entry test
English Proficiency – IELTS 6.0 Duolingo 100
- Integrate essential management functions into strategic planning.
- Analyze and validate external scientific findings for business relevance.
- Understand data technology and applications, conducting thorough investigations.
- Explore the use of data applications in various business scenarios.
- Utilize a broad spectrum of tools to address complex management issues.
- Strategy
- Markets and Marketing
- Innovation and Entrepreneurship
- Organizational Design & IT-Systems
- Operations Management
- Sustainable Leadership and Management
- Financial Management
- HR-Management
Specialization Modules
- Digital Infrastructure & Software Development
- Data Management, Big Data & High Performance Computing
- Data Driven Business
- Data Strategy & Governance
- Data Exploration & Analytics
- Artificial Intelligence
- Interested in data analysis and its applications in business and technology.
- May have a background in computer science, engineering, mathematics, or statistics.
- Passionate about utilizing data-driven insights to solve complex business problems.
- Eager to enhance organizational performance through data analysis.
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- AI Engineer
- Data Architect
- Data Manager
