The Master in Big Data Science program is a two-year intensive program conducted in English. The program aims to prepare students to work on Big Data, AI, and Machine Learning, primarily in Finance and Health Economics and secondly in other industries. Specifically, students gain deep and extensive knowledge of the most advanced data collection techniques, data analysis, machine learning, and - more broadly - AI.

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Intensive, hands-on and meritocratic program: Since the first semester, students can gain advanced theoretical knowledge in mathematics and statistics. More importantly, they learn to apply this knowledge through intensive hands-on tutorials and seminars right from the beginning of their studies. Our top-performing students are frequently recruited by major multinational enterprises, global banks, and leading consulting firms. Many of our alumni now hold senior management positions at organizations such as Standard Chartered, Goldman Sachs, Microsoft, Accenture and Oracle.
Learning Data Science and AI using advanced tools: During their studies, students develop proficiency in programming languages such as R and Python, as well as cloud technologies like Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform. Furthermore, they gain access to renowned training platforms, including Amazon AWS Academy, Bloomberg for Education, GitHub for Education. Finally, our students receive discount vouchers to support their efforts in pursuing and passing Microsoft or Amazon certification exams.
Wide career opportunities: The Polish labor market features a high demand for Machine Learning Engineers, AI Engineers, Quants, Financial Data Analysts, and many other positions in IT, Finance, and Healthcare. These specialists earn salaries that are, on average, 34% higher than Polish average salaries. The Polish demand for specialists in these fields is set to rise on average by 14% yearly over the next five years.
Two possible majors: Data Analytics and Health Economics - The Data Analytics major is a rigorous program designed to prepare students for careers primarily in finance, as well as in other industries. This major focuses on equipping students with advanced skills in Big Data and AI. Meanwhile, the Health Economics & Big Data Analytics major emphasizes the application of Big Data and AI in optimizing efficiency, cost management, and resource allocation for organizations operating within the healthcare sector.
Multiple study resources: access to the largest business and academic databases - Whether your are interested in solving practical business problems or delving into academic science, KU makes sure you have the best sources for your research. The University provides access to the wide range of databases, including Reuters, BankScope, EMIS, Infinancials, etc., which represent an essential toolkit for business analysis. Academic databases such as ScienceDirect, ProQuest, JSTOR etc. allow to track the most recent research findings in the domains of economics and finance.
International academic and professional staff: The program's faculty comprises both academic and industry professionals. Over half of the academic staff have earned their doctoral degrees abroad, with many having gained experience and training at prestigious institutions such as Oxford University, Bocconi University, the University of Aberdeen, Cambridge University, the University of Barcelona, Wharton Business School, and Goethe University in Frankfurt. In addition, the teaching staff includes seasoned professionals from IT and other industries, many of whom hold senior positions at leading companies such as P&G, Microsoft, and Oracle.
Training and mentorship possibilities: Kozminski University offers students exceptional opportunities to develop skills, gain certifications, and pursue entrepreneurial goals. Through the Kozminski Business Hub and Venture Capital Fund, aspiring entrepreneurs can access business mentorship and crowdfunding programs. Students can also prepare for certifications in Amazon AWS Academy (cloud computing), Bloomberg for Education (Bloomberg Market Concepts), and GitHub for Education (AI GitHub Copilot and programming skills).
Professional Internship: The professional internship, lasting 130 hours and worth 5 ECTS, is a mandatory requirement for completing the program. It takes place in the 4th semester or, with the approval of the Vice Dean, earlier (after the completion of the 1st semester). The internship allows students to apply theoretical knowledge in practice, build professional connections, and gain valuable experience. It plays a key role in developing skills, validating research ideas for the master’s thesis, and enhancing organizational analysis capabilities. This essential experience helps students gain a deeper understanding of their professional field, develop social competencies, and realize the importance of continuous learning and self-improvement, which are crucial for career success.

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