The Master in Big Data Science at Kozminski University in Warsaw is a two-year second-cycle (Master's) programme taught in English, run full-time in the evenings, Monday to Friday from 17:00 to 21:00, partly on site and partly online. It suits graduates who want to work with Big Data, AI and machine learning – mainly in finance and health economics – while working at the same time.
From the first semester you learn advanced mathematics, statistics and econometrics and apply them straight away in intensive hands-on tutorials and seminars. The programme covers data collection, data analysis, machine learning and AI, and all students also study entrepreneurship, venture capital and cloud computing. Teaching staff include IT and industry professionals, among them people working at Microsoft and Oracle.
The Data Analytics major develops advanced Big Data and AI skills, mainly for careers in finance but also in other industries.
The Health Economics and Big Data Analytics major applies Big Data, AI and predictive modelling to efficiency, cost management and resource allocation in healthcare, digital health and pharmaceuticals. You work on case studies and real-world data from health systems around the world and meet the programme's partners during workshops.
A mandatory 130-hour internship worth 5 ECTS takes place in the fourth semester, or earlier with the Vice Dean's approval – after the first semester.
During the programme you can 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), and get support in taking Microsoft or Amazon certification exams. Aspiring founders can use business mentorship and crowdfunding programmes through the Kozminski Business Hub and Venture Capital Fund.
Graduates work, for example, as:
As of the 2026/27 admissions, based on the programme page at kozminski.edu.pl.
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