Master in Business Analytics & Data Science
Munich, Germany
Master degree
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Jan 2026
TUITION FEES
EUR 16,350 / per year *
STUDY FORMAT
On-Campus
* optional additional qualification: 3,950 EUR | total for two qualifications: 20,300 EUR
Key Summary
Open day at EU Munich – November 13
Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools, and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource and learn how to apply data management skills to a business setting to effectively implement data-driven solutions.
- Duration: Three terms/one year
- Locations: Barcelona, Munich
- Teaching Language: English
- Starting dates: October/January/April
- Number of Credits: 60 ECTS
- Fees per Term: € 5,200
Degree Awarded
- A university master’s degree awarded by Universidad Católica San Antonio de Murcia (UCAM), (título propio), a state-recognized university in Spain.
- A master's degree from EU Business School Switzerland which is internationally accredited by ACBSP, IACBE, IQA, and certified by Educa.
Additional Qualification
After completing the master program, students 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 in International Business Management, students must complete an additional 14-week Business Consultancy Project module (30 ECTS) and a Research Module.
Learning From Leaders
Events that introduce EU students to globally successful leaders are a fundamental aspect of our approach to providing the business education that will kick-start your career.
Chairman of Siemens & Maersk Jim Hagermann Snabe spoke to EU students about leadership in times of radical change. He advised them to throw away the rule book, prioritize innovation and disruption, and empower those around them to unleash human potential for positive transformation.
Benefits of Studying a Master's
- International networking with classmates, lecturers, and business professionals
- Improve critical-thinking skills and learn to be a problem-solver
- Gain a global perspective by studying in a diverse and multicultural environment
Why Barcelona?
Studying for a Master's in Business Analytics & Data Science in Barcelona allows students to expand their business knowledge in one of the world’s most advanced smart cities. Entrepreneurs and innovators are nurtured and cultivated in this forward-thinking city, which attracts outstanding tech talent and innovative startups, of which there are currently more than 1300. Barcelona is also home to some of the world’s largest multinational companies, including Airbnb, Amazon, and the Siemens Innovation Center.
This diverse and cosmopolitan city on the Mediterranean coast boasts almost five kilometers of golden beaches and provides students with excellent opportunities for sports activities and socializing. Famously home to FC Barcelona, it also has a wide array of cultural offerings including museums, UNESCO-listed monuments, and architectural gems from the city’s most celebrated son, Antoni Gaudí.
The Master in Business Analytics & Data Science (60 ECTS) is a one-year program, divided into three terms. Each term comprises two subject-specific courses plus a project-based module and a skills-development module. Throughout the year, students will also participate in real-life case studies and company visits, as well as the innovative Business Immersion Weeks which take place every term. To graduate, participants must also complete a Final Capstone Project (6 ECTS).
Year 1
Term 1
- Data Science & Analytics in Business
- Unlocking the Power of Big Data
- Winning Strategies for Market Entry
- Tools for Success
- Business Immersion Week
Term 2
- Machine Learning & AI
- Data Visualization & Communication
- Strategic Development for Business Success
- Developing a Leadership Edge
- Business Immersion Week
Term 3
- Business Intelligence
- From Data to KPI
- New Product Development for Growth
- Building Successful Teams
- Business Immersion Week
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.
Upon the successful completion of any of the EU's master's degrees, graduates have a wide array of career options and business opportunities available to them. In response to the growing demand for flexible and entrepreneurial business professionals, the EU's programs are designed to foster the skills required for a successful career in the international business arena.
EU's graduates possess an international mindset, and multicultural awareness and are innovative thinkers. This makes them ideal candidates for positions at large, multinational companies and dynamic, disruptive entrepreneurs ready to start their businesses.
Career Options
The Master's in Business Analytics & Data Science provides students with the theoretical and practical skillsets necessary to succeed in the fields of business analytics and data science. Upon successful completion of this master's degree, students might be interested in the following job positions.
Data Analytics Consultant
The role of a data analytics consultant involves translating numerical data into a more accessible, comprehensible form. Data analytics consultants work with data sets and models to derive meaningful insights and solve problems, combining analytical acumen with business expertise to deliver the most relevant solutions possible.
Data analytics consultants should possess exceptional critical thinking skills and data visualization abilities. Problem-solving acumen and effective communication skills are also valuable in this role.
Operations Analyst
Operations analysts are primarily responsible for identifying inadequacies in business models and operations. Once these flaws have been identified, operations analysts will then carry out research, investigate workflows, and recommend changes, while also conducting internal audits.
Analytical skills are essential in this career, as problem-solving is the operations analyst’s main task. Due to the multidisciplinary nature of their work, analysts must also be able to work effectively as part of a team and communicate information clearly and concisely.
Data Scientist
A data scientist collects information such as usage statistics and analyzes it to better understand how a business performs and to advise the business based on those metrics. Data scientists also build artificial intelligence tools that automate certain business processes.
Data extraction, transformation, and visualization are all essential skills for data scientists. They also require a thorough knowledge of math, particularly statistics, and further benefit from fluency in one or more programming languages.
Financial Risk Manager
A financial risk manager identifies and analyzes threats to assets, earning capacity, or the success of any given business. They can work in various industries, including sales, marketing, financial services, and more. Many financial risk managers specialize in business-focused areas such as credit or market risk.
Financial risk managers should possess a comprehensive knowledge of finance, effective communication skills, and solid analytical thinking abilities. Finance modeling and statistics are also highly valued by candidates seeking this position.
Areas of Work
The Master's in Business Analytics & Data Science presents students with the opportunity to obtain key theoretical and practical expertise in both business analytics and data science fields. Graduates may wish to consider employment in the following professional sectors:
- Business Analysis Consultancy
- Project Management
- Data Analytics
- Cybersecurity Management