Unlock the power of data to transform results with our Master in Business Analytics & Data Science. 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.

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

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).

Term 1 (18 ECTS)

• Data Science & Analytics in Business
• Unlocking the Power of Big Data
• Tools for Success
• Business Immersion Week
• Winning Strategies for Market Entry

Term 2 (18 ECTS)

• Machine Learning & AI
• Data Visualization & Communication
• Developing a Leadership Edge
• Strategic Development for Business Success
• Business Immersion Week

Term 3 (18 ECTS)

• Business Intelligence
• From Data to KPI
• Building Successful Teams
• New Product Development for Growth
• Business Immersion Week

Final Capstone Project

This Capstone Project is an opportunity for students to apply their knowledge and skills from previous courses in their program to either create a business plan or expand on a previous project. Through this project, students will comprehensively understand business principles, methods, tactics, and practical insights into the tools and resources required to begin or manage a successful business.

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.

Online

On successful completion of this program, you will earn:

• A university-specific degree (título propio*) awarded by Universitat de Vic – Universitat Central de Catalunya (UVic-UCC), Spain.
• A master’s degree from EU Business School Switzerland, which is institutionally accredited by IQA and certified by eduQua and programmatically by ACBSP and IACBE.

Note: Upon successful completion of the graduation requirements, students who accessed this program via the Executive Bridging Program (EBP) will earn the following qualifications:

• A master’s degree from EU Business School Switzerland, which is institutionally accredited by IQA and certified by eduQua and programmatically by ACBSP and IACBE.
• Optional additional qualification (see below) to earn a U.K. state-recognized degree awarded by London Metropolitan University.

On-campus

On successful completion of this program, you will earn:

• A university-specific master’s degree (título propio*) awarded by Universitat de Vic – Universitat Central de Catalunya (UVic-UCC), Spain.
• A certificate in Advanced Studies from EU Business School Switzerland.

The degree programs (títulos propios) awarded by the Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), are authorized to be delivered at EU Business School Munich GmbH in accordance with Article 112 of the Bavarian Higher Education Innovation Act (BayHIG).

After completing the master program, you will have the opportunity to earn an additional qualification, a U.K. state-recognized degree from London Metropolitan University (London Met).

To earn the MSc International Business Management, you must complete an additional 14-week Business Consultancy Project module (30 ECTS) and a Research Module.

Ready to unlock your potential? Our Career Support team will give you personalized strategies to transform your unique experience into your competitive edge and help you achieve your career dreams.

Predictive Analytics Consultant

Forecasts business outcomes, identifies emerging opportunities & transforms data into strategic advantages.

Data Storytelling Specialist

Translates complex insights into compelling narratives, influences stakeholders & drives data-informed decisions.

Customer Behavior Analyst

Decodes purchase patterns, predicts future actions & enhances targeting through behavioral intelligence.

AI Strategist

Identifies automation opportunities, develops machine learning solutions & transforms business operations through AI.

Data Ethics & Governance Director

Establishes responsible data frameworks, ensures regulatory compliance & builds trust-centered data practices.

These are the admission requirements for this master's program. If you're not sure if you meet our requirements, contact us for a personalized assessment. Our team is here to help!

Academic requirements:

1 certified copy of bachelor's degree and transcripts

Proof of English level:

TOEFL score 93 (internet-based), 238 (computer-based); IELTS 6.5; CAE C1 with a minimum score of 176; minimum PTE-A of 58; native speaker of English or equivalent

Applicants must also meet one of the following:

• A GPA of 3.0 on a 4.0 scale
• A satisfactory score on the GMAT or GRE
• An interview with the academic dean

If you do not meet these criteria, contact our team to arrange an interview with the admission committee and your application will be considered on a merit basis.