The Business Analytics master’s programme at Lazarski University offers a structured, practice-oriented journey designed to build both technical skills and business insight. Rather than learning in isolation, you’ll work on real-world challenges, guided by experts and supported by modern tools used by top data professionals.
The journey will take you through:
Programming and Data Analytics
Gain practical experience in transforming raw data into business insights. Through hands-on labs and coding sessions, you’ll develop confidence in working with data pipelines, modeling techniques, and analytical frameworks that power decisions in real organizations.
Machine Learning and Artificial Intelligence
Explore the logic behind intelligent systems that support automation, prediction, and optimization. You’ll learn how to design, test, and apply machine learning models to real scenarios—from customer segmentation to risk modeling and AI-driven process improvement.
Business and Economic Context
Understanding data is one thing—knowing how it fits into broader economic and strategic contexts is another. You’ll study financial markets, economic trends, and business models to ensure that your analytical work supports real-world decisions.
Statistical Thinking and Forecasting
Master the tools of quantitative analysis. From probability theory to econometrics, you’ll learn how to make sense of data variability, identify patterns, and generate forecasts that businesses can act on.
Communication and Data Storytelling
The value of analytics is measured by how well it can be communicated. You’ll gain the ability to create compelling narratives and dynamic dashboards using visualization tools—bridging the gap between data and decision-makers.
Data Infrastructure and Cloud Technologies
Behind every great analysis is a robust infrastructure. You’ll become familiar with cloud platforms, data storage solutions, and scalable environments essential for modern analytics, including fundamentals of cloud architecture and data lifecycle management.
Ethics, Law, and Data Security
Work with data responsibly. You’ll explore legal frameworks such as GDPR, principles of data governance, and the ethical implications of automation and AI — preparing you to make informed, accountable decisions in any sector.
Projects and Industry Experience
From day one, you’ll be solving problems that matter. Through project-based courses and two Industry Case Labs, you’ll work in teams on challenges provided by business partners. Your fourth semester is dedicated to a full-time internship — giving you the opportunity to apply what you’ve learned in a real professional setting.