field of study

Business Analytics

Choose Business Analytics, a programme that integrates economic knowledge with advanced data analysis methods, programming, and cutting-edge technologies such as machine learning and artificial intelligence.  

You will develop the skills to extract insights from complex data, optimise decision-making, and drive innovation. If you want to be prepared for work in rapidly growing sectors such as finance, technology, or consulting, this programme is the perfect choice for you!

 

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Type of studies: Master's degree
Language of instruction:
English
Duration: 2 years
Studies mode:
  • full-time studies

Programme description

This programme aims to teach you how to develop practical technological and analytical skills, essential for solving complex economic and business problems, while upholding principles of ethics, data security, and compliance with international regulations. These studies also teach how to deal with data processing in a correct and reliable manner. 

As this programme graduate you will be ready to design and implement solutions supporting decision-making processes in business, public administration and international organisations.  

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Are these studies for you?

This programme is for you if you have:

  • solid mathematical foundations and logical thinking skills,
  • analytical mindset with a passion for problem-solving,
  • the ability to quickly absorb knowledge and adapt to the evolving world of data science, programming, and artificial intelligence,
  • a proactive approach to learning, with a willingness to develop programming and data analysis skills, even if you have no prior experience
  • the ability to quickly absorb knowledge and adapt to the world of cutting-edge technologies, data, and programming.

Previous programming experience is not required, but an interest in developing such skills will be an advantage.  

Studies programme

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.

Programme benefits

The Business Analytics master’s programme is designed to give you a measurable advantage on the job market through real-world learning and close industry collaboration. 

  • Key benefits include:
    Practice-first learning model
    Focus on hands-on labs, real data, and live coding — with over 75% of the programme built around workshops, projects, and applied work.
  • Curriculum co-designed with industry
    The programme is developed and delivered in cooperation with business practitioners from leading global companies. This ensures that what you learn reflects current technologies, industry challenges, and market needs.
  • Real industry projects
    Solve actual business problems provided by partner companies. Build a portfolio that demonstrates your ability to work with large datasets, apply AI models, and create meaningful insights.
  • Strong foundation in both data and economics
    Combine technical and analytical skills with strategic and economic thinking — giving you the tools to make informed, impactful decisions.
  • Career-ready skillset
    Develop competencies that are immediately applicable: from cloud data infrastructure and dashboard design to communication and data storytelling.
  • Access to top industry tools and platforms
    Learn using professional-grade environments — GitHub, cloud platforms, Jupyter, SQL engines, and agile project management tools.
  • Global learning ecosystem & certifications
    Benefit from partnerships with AWS, IBM, NVIDIA, Microsoft, and Coursera. You will have the opportunity to earn free professional certificates recognized across the tech and business sectors — boosting your employability before graduation.
  • Designed for employability, built for change
    The content evolves with the market. You’ll be learning what matters now — not last year — using real tools, on real problems, in real time.

 

Academic staff

Piotr Zieliński

20+ years experience in IT, management, data security; manager at George Washington University; active lecturer.

Mateusz Wyszyński

Experienced Data Scientist proficient in Scala, R and Python

Krzysztof Beck Ph.D.

Laureate of the National Bank of Poland Award and the Central Statistical Office Award for the best doctoral dissertation in economics and finance, manager of several research grants, author of articles in economic journals

Maria Grycuk

Experienced Project Manager proficient in R and Python

dr Iana Okhrimenko

Vice Director of BA in Business Economics and MA in International Business Economics programmes

Valeria Yersh

Master of Science in Economics from the University of Ghent, Belgium, with more than 5 years of professional experience in statistical and econometric analysis

Zofia Gonzalez

A graduate in mathematics from the University of Warsaw. She combines mathematical skills with extensive experience in software development and Business Intelligence. An experienced consultant.

Job prospects

Graduates of the Business Analytics programme are prepared to take on roles that bridge the gap between data and business strategy. Combining technical fluency with strong business understanding, you’ll be equipped to work across industries in positions that require insight, communication, and data-driven decision-making.


Potential career paths include:

  • Business Analyst
    Translate data into actionable recommendations for business performance, efficiency, and customer experience.
  • Data Analyst / Business Data Specialist
    Collect, clean, and interpret data to support day-to-day decisions and performance tracking.
  • Analytics Consultant
    Work with organizations to design and implement analytical strategies and data products that solve real business problems.
  • Product Analyst / Data Product Owner
    Use data to drive the development and optimization of digital products and services.
  • Business Intelligence (BI) Analyst
    Create dashboards, reporting solutions, and KPIs that support strategic and operational goals.
  • Strategy Analyst / Decision Support Specialist
    Support executive decisions using scenario modeling, forecasting, and prescriptive analytics.
  • Customer & Market Insights Specialist
    Analyze customer behavior, market trends, and segmentation to support marketing, pricing, and positioning.
  • Digital Transformation / AI Business Consultant
    Help organizations identify opportunities for automation, AI adoption, and data-driven process redesign.
  • Analytics Project Manager / Agile Analyst
    Coordinate interdisciplinary data projects using agile methodologies.

 

Tuition fees
for the academic year 2025-2026

full-time studies
Tuition Fee - 1 year
(2 semesters)

2 x 2400 EUR

Tuition Fee - 2 year
(2 semesters)

2 x 2520 EUR

Application process

  1. Register online
    You can enrol at our University in a few simple steps:

  2. Pay the admission fee and submit your documents 
    Admission fee is EUR 17* (bank account details will be available in the Candidate’s Account after online registration)
    *Lazarski University graduates are exempt from the admission fee. Please, note that admission fee is non-refundable.

  3. Deliver documents to the Admissions Office 
  4. Check the ranking list
    You will receive your acceptance letter by email or in the Admissions Office.

  5. Congratulations - you are a student!
    Are you already among our students? We encourage you to download all useful information we have prepared for those who are beginning their studies at Łazarski University! Student Welcome Pack.

Apply now