field of study
Choose a programme that combines economics, data science, and cutting-edge technologies like machine learning and AI with a hands-on, practice-first approach.
This programme develops the technological and analytical expertise needed to solve complex economic and business problems while ensuring you operate within the highest standards of ethics, data security, and regulatory compliance.
You will learn to process and analyze data accurately and responsibly, and to design and implement solutions that drive decision-making in business, public administration, and international organizations.
Over two years, you’ll work on real business challenges, guided by experts, and gain access to global learning platforms including Coursera, AWS Academy, and IBM SkillsBuild, graduating with a Master’s degree, a portfolio of projects, and industry-recognized certificates.
As the capital of one of Europe’s fastest-growing economies, Warsaw offers a vibrant environment where you can engage with ambitious students, industry leaders, and international professionals.
With world-class education and strong industry connections, Lazarski University is your gateway to success.
Don’t miss the chance to turn your ambitions into reality and embark on a transformative journey that will open doors to a bright future!
This programme is right for you if you are eager to solve problems with data, have a logical and analytical mindset, and want to apply technology to real business challenges.
You may come from any academic background, no prior coding experience is required, but you are ready to develop programming and analytical skills quickly.
Curiosity, adaptability, and the ambition to work in data-driven roles across industries will help you thrive here.
The Business Analytics master’s programme at Łazarski 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.
| Sem. | Focus Areas | Certifications |
| I | Fundamentals of Business Analytics, Python & SQL, Data Visualization, Managerial Economics for Analysts | IBM SkillsBuild Data Science Foundations |
| II | Machine Learning I, Cloud Basics for Analysts, Applied Finance for Analysts, Data Ethics, Law & Governance | AWS Academy Coursera |
| III | Machine Learning II (Predictive Models, Deep Learning), Strategic Analytics, Advanced Visualization Tools, Case-Based Business Analysis | AWS Academy Data Analytics Specialty |
| IV | Master’s Thesis / Industry Capstone Project, AI in Business, Marketing Analytics, Portfolio Completion & Career Coaching | IBM SkillsBuild Machine Learning or AWS Specialty Certification |
This programme gives you a measurable edge in the job market through immersive, industry-connected learning.
Key benefits include:
Practice-first approach – Over 75% of your time is spent in labs, workshops, and live coding sessions, working with real data.
Industry co-designed curriculum – Created with business practitioners to ensure relevance to current technologies and challenges.
Portfolio-building projects – Tackle real business problems from partner companies, applying AI models, analytics pipelines, and visualization tools.
Case-based business subjects – Courses in economics, finance, and strategy always tied to real data analysis projects.
Career-ready competencies – From cloud data infrastructure and machine learning to communication and data storytelling.
Professional tools – Train with GitHub, AWS cloud services, Jupyter, SQL engines, and agile project tools.
Global learning access – Through Coursera, AWS Academy, and IBM SkillsBuild, earn internationally recognized certificates to boost your CV before graduation.
Market-responsive content – Curriculum evolves with industry needs so you graduate ready for today’s opportunities.
Area | Tools & Platforms | Techniques |
Programming & Data | Python (pandas, NumPy, scikit-learn), SQL, GitHub | Data wrangling, cleaning, ETL pipelines |
Visualization | Tableau, Power BI, Matplotlib, Seaborn | Dashboard design, storytelling with data |
Machine Learning | scikit-learn, TensorFlow, AWS Sagemaker | Classification, regression, clustering, deep learning |
Cloud & Big Data | AWS (S3, Redshift, Athena, QuickSight), IBM Cloud | Cloud data analytics, storage, and deployment |
Business Analysis | Excel, SQL analytics, scenario modeling tools | KPI design, forecasting, decision support |
Project & Collaboration | JIRA, Trello, Agile frameworks | Sprint planning, cross-functional communication |
Soft Skills Modules
In today’s data-driven world, the ability to communicate and collaborate is as important as technical expertise.
This programme includes dedicated modules such as:
Data Storytelling for Executives – Turning insights into persuasive business narratives.
Team Collaboration in Agile Analytics – Working effectively in cross-functional, data-centric teams.
Decision-Making Under Uncertainty – Applying data to guide choices when information is incomplete.
Negotiation for Analytics Professionals – Navigating stakeholder expectations in analytics projects.
International & Industry Connections
Industry Projects: Work with companies from sectors such as finance, e-commerce, healthcare, and technology on real datasets and business challenges.
Global Case Studies: Learn from examples spanning Europe, North America, and Asia, preparing you for work in diverse markets.
International Student Network: Collaborate with peers from multiple countries and backgrounds, enhancing your cross-cultural communication skills.
Professional Partnerships: Access certifications and network of business partner.
Piotr Zieliński
With over 20 years experience in the IT industry, from Europe and USA. Director of the Academic Center for Technology and Innovation and a lecturer at George Washington University.
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, several research grants manager, author of many scientific articles.
Maria Grycuk
Experienced Project Manager, proficient in R and Python.
Iana Okhrimenko Ph.D.
Researcher, lecturer, senior economist.
Valeria Yersh
Master of Science in Economics from the University of Ghent, Belgium. Experienced in the 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.
Graduates of the Business Analytics programme are ready to bridge the gap between complex data and business strategy. You will be able to design, implement, and communicate analytics solutions that drive decisions across sectors such as finance, technology, consulting, and e-commerce.
Example career paths:
2 x 2400 EUR
2 x 2520 EUR
Register online
You can enrol at our University in a few simple steps:
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.
Check the ranking list
You will receive your acceptance letter by email or in the Admissions Office.
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.
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