Data Analytics and AI Specialization at Steinbeis University
Masters in Data Analytics & AI
Steinbeis University’s Data Analytics & AI specialization equips you to be a digital transformation leader. Learn to integrate AI and machine learning into your business strategy, fostering a data-driven culture and setting your company apart in the competitive tech landscape.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.
Why You Should Study Data Analytics and AI at Steinbeis University?
Steinbeis University’s Data Analytics & AI specialization equips you to be a digital transformation leader. Learn to integrate AI and machine learning into your business strategy, fostering a data-driven culture and setting your company apart in the competitive tech landscape. 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.
Quick Facts
Duration
24 months
Degree
Master of Science
Course Credits
120 ECTS
Language
English
Location
Berlin
Fee
€5,950 per Semester, €11,900 Yearly, Total €23,800
Format
Full-Time, On-Campus
Learn Step by Step
1
Step 1
Gain deep insights into data technology and its applications.
2
Step 2
Formulate robust strategies grounded in data analysis.
3
Step 3
Sharpen your ability to make informed, data-driven choices.
4
Step 4
Uncover the business potential of diverse data applications.
5
Step 5
Utilize a broad spectrum of tools for solving complex challenges.
Data Analytics and AI: Career Prospects
Data Analyst
Analyze and interpret complex data to help businesses make informed decisions.
Data Scientist
Develop algorithms and predictive models to extract insights from large datasets.
AI Engineer
Design and implement AI models to automate complex tasks in business operations.
Machine Learning Engineer
Build machine learning models to enhance decision-making processes within businesses.
Business Intelligence Analyst
Utilize data to help organizations make strategic decisions based on market trends and business insights.
Big Data Analyst
Work with massive data sets to identify trends and make predictions for businesses.
Data Analytics and AI: Foundation Modules
Foundation Modules
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
Data Analytics and AI: Specialization Modules
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
Frequently Asked Questions
The program lasts for 24 months, with full-time, on-campus study in Berlin.
Applicants must hold a bachelor’s degree and demonstrate proficiency in English. Prior experience in data analytics or related fields is advantageous but not mandatory.
Steinbeis University provides comprehensive career support, including networking events, job fairs, and one-on-one career counseling to help you transition smoothly into the job market.
Germany’s working culture is incredibly structured and supportive, providing an ideal environment for innovation. At SAP, I’ve found that clear communication and respect for personal time foster productivity and creativity.
The working culture in Germany values precision and efficiency, which has allowed me to thrive in my role at Daimler AG. The emphasis on continuous learning and collaboration makes every project an exciting challenge.
Germany’s professional environment, with its emphasis on analytical thinking and teamwork, has greatly enhanced my skills as a data scientist at Siemens AG. I appreciate the balance of autonomy and guidance that encourages personal growth.
The healthcare sector in Germany is both demanding and rewarding. The supportive working culture in hospitals here ensures that we can provide the best care to patients while also advancing in our careers.
At Bosch, the working culture is one of mutual respect and innovation. Germany’s focus on precision engineering and sustainable practices aligns perfectly with my professional values, making it a fulfilling place to work.
Germany’s professional landscape for marketing is strategic and forward-thinking. At Deutsche Bank, the collaborative and transparent working culture enables us to create impactful campaigns for a global audience.
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