Business Analytics

Harness the power of data to drive business success with Maastricht University’s Bachelor of Science in Business Analytics. This three-year, full-time program, taught entirely in English, equips you with the analytical skills, business acumen, and technological expertise to become a sought-after business analyst.

Become a Data-Driven Leader: Learn to translate complex data sets into actionable insights that inform strategic decision-making across all areas of business. Develop a strong understanding of data analysis tools and techniques, including statistics, machine learning, and data visualization.

Multidisciplinary Approach: The program seamlessly integrates data science (mathematics, statistics, computer science, artificial intelligence) with core business and economics subjects (finance, accounting, marketing, information management, operations, micro- and macroeconomics, policy design). This holistic approach equips you to tackle real-world business challenges from a data-driven perspective.

Problem-Solving Focus: Develop your critical thinking and problem-solving abilities through engaging case studies, projects, and simulations. Apply your knowledge to analyze real-world business scenarios, identify trends, and recommend data-driven solutions.

International Learning Environment: Immerse yourself in a diverse and international learning environment at Maastricht University, consistently ranked among the top universities in the Netherlands. Benefit from interaction with a truly international faculty and student body, fostering a global perspective on business analytics.

Global Career Opportunities: Graduates are prepared for a wide range of exciting career opportunities in the rapidly growing field of business analytics. Potential career paths include:

• Business Analyst
• Data Analyst
• Market Research Analyst
• Business Intelligence Analyst
• * Marketing Analyst
• Risk Analyst
• Data Scientist (with further studies)

Develop Valuable Skills: Refine your analytical skills, data visualization techniques, communication skills (written and oral), and teamwork abilities. Learn to effectively communicate complex data insights to both technical and non-technical audiences.