This master’s in Business Management, specializing in Data Analytics and AI, teaches the integration of data insights into business strategies. You’ll gain comprehensive knowledge in data technology, applications, and strategies for data-driven decision-making. The program enhances your understanding of corporate functions and equips you with tools for complex management challenges. It prepares you for roles in business intelligence, analytics, consulting, and operations management, emphasizing the importance of accurate, data-backed insights in the modern business environment.
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
Online – assignments based
DEGREE
Master of Science 120 ECTS
ELIGIBILITY
3 years Bachelor
English Proficiency – IELTS 6.0 Duolingo 100
- Gain deep insights into data technology and its applications.
- Formulate robust strategies grounded in data analysis.
- Sharpen your ability to make informed, data-driven choices.
- Uncover the business potential of diverse data applications.
- Utilize a broad spectrum of tools for solving complex challenges.
- Philosophy of Science and Research Methods
- Advanced Statistics
- Strategic Management
- Organizational Design
- Marketing
- Economics, Politics, and Society
- Project Management
- Leadership and Communication
- Qualitative Research (R&S Project)
- Innovation Project
Specialization Modules
- Digital Economics — Implications for Business and Society
- Digital Technology — Advanced
- Digital Infrastructure and Principles of Software Development
- Data Management, Big Data and High-Performance Computing
- Data Driven Business Models and Products
- Data Strategy and Governance
- Data Exploration and Analytics
- Artificial Intelligence
- Professionals at the intersection of business and technology, with a keen sense of digital innovation.
- Those seeking to deepen their understanding of digital technologies and market trends.
- Candidates who appreciate the transformative impact of digital solutions on business competitiveness.
- Individuals eager to contribute to the technological evolution of their companies.
- Data Analyst
- Data Scientist
- AI Engineer
- Machine Learning Engineer
- Business Intelligence Analyst
- Big Data Analyst
