Master in Business Analytics and Data Science EU Business School - Munich Campus, Germany

Unlock the power of data to transform results with our Master in Business Analytics & Data Science (título propio*). Strengthen your grasp of data tools and software, understanding the roles of visualization, KPIs and Big Data as you enhance communications between stakeholders and data science professionals.

Identifying key insights in a data-heavy world, you’ll access careers in data analytics, business intelligence consulting and AI, together with finance, operations and project management. Want to expand your horizons?

You can transfer between our EU campuses and elevate your international experience.

Learn how to:

• Analyze patterns &  trends in business
• Inform critical decision-making processes
• Improve stakeholder engagement 
• Explore ethics in machine learning and AI for contemporary business
• Use applied data to create effective solutions

Program Structure
This is a one-year program (60 ECTS), divided into three terms. Each term comprises two subject-specific courses plus a project-based module and a skills-development module.

You will also participate in real-life case studies and company visits, as well as the innovative Business Immersion Weeks which take place every term.

In order to graduate, you must also complete a Final Capstone Project (6 ECTS).

Learning Outcomes
 

This master’s program provides a comprehensive foundation of data science to business professionals who work with data, lead data scientist teams or are looking to manage a data-driven enterprise.

Students will:

• Obtain an extensive top-level understanding of the foundations of data science using industry leading software, tools and applications.
• Gain hands-on experience with advanced web-based applications and toolsets and understand how machine learning and deep learning can provide solutions to business problems.
• Use data as a strategic resource and apply data management skills to the business setting to effectively implement data-driven approaches to gain valuable insights.