The Czech Republic, also known as Czechia, is a Central European country. Its capital and largest city is Prague. As of December 31, 2025, Czechia’s population was 10,915,839. Its official language is Czech; according to the 2021 Census, Slovak and Ukrainian were the most frequently reported foreign mother tongues, while Polish was also reported as a minority mother tongue. As for religion, many residents reported no religious belief, while Roman Catholicism was the most commonly reported church affiliation among believers.

In Czechia, the education system includes pre-primary education, basic education covering primary and lower secondary levels, and upper secondary education. After students complete these levels, they may pursue tertiary education at professional schools or higher education institutions.

Data science is one of the most sought-after career paths nowadays, and it is a field of study that combines many aspects of research and technology. In Europe, digital and data-intensive business environments continue to create demand for ICT specialists, and Czech employers that recruited or tried to recruit ICT specialists in 2023 reported notable difficulty filling those vacancies. With that, we will discuss below some of the best universities for data science in the Czech Republic.

Top Schools Offering Data Science in the Czech Republic

1. Czech Technical University in Prague

Deemed one of Europe’s largest and oldest technical universities, Czech Technical University in Prague (CTU) is a leading technical university founded in 1707. It has over 17,800 students studying in its faculties and higher education institutes. CTU has eight faculties: Civil Engineering, Mechanical Engineering, Electrical Engineering, Nuclear Sciences and Physical Engineering, Architecture, Transportation Sciences, Biomedical Engineering, and Information Technology. Students can also study at selected CTU institutes, such as the Masaryk Institute of Advanced Studies and the Klokner Institute.

Incoming tertiary students can choose from a wide range of courses. CTU states that it offers 227 study programs, including 94 delivered in a foreign language, mainly English.

At CTU, the Faculty of Electrical Engineering offers the Open Informatics master’s program with a Data Science specialization. This makes CTU a strong option for students interested in a graduate-level data science pathway in the Czech Republic.

2. Unicorn University

Unicorn University is a private university located in Prague that focuses on software development, data analysis, and business management. The institution was founded in 2007 by Unicorn a.s., a Czech software company. The university also participates in international cooperation with partner institutions such as The Hague University of Applied Sciences.

The study programs offered at Unicorn take a practical approach and are centered on seminars, projects, hackathons, workshops, and work-study options.

In line with this, the university offers incoming master’s students a full-time study program in Software Engineering & Big Data. Its study duration is two years, and the language of teaching is Czech. As for the tuition fee for this program, it is currently listed at 37,500 CZK per semester, or 150,000 CZK in total.

3. Czech University of Life Sciences Prague

The Czech University of Life Sciences Prague (CZU) is a public university with six faculties and one institute. Its roots date back to 1906. Currently, the university has more than 18,000 students and offers more than 170 accredited study programs across bachelor’s, master’s, and doctoral levels.

As one of the schools in the Czech Republic offering a data science-related bachelor’s pathway, CZU offers a three-year Bachelor’s program in Environmental Data Science. This program is designed for students who want to use data science to observe and analyze the natural environment. It is taught in English. The tuition fee is currently listed at €2,000 per year, or €500 per year for EU students, with CZK payment amounts varying by exchange rate.

4. Charles University

Charles University is another strong option for data science-related study in the Czech Republic. Founded in 1348, it is one of the oldest and largest universities in the world and has 17 faculties. Prospective students can choose from a wide range of study programs, including programs accredited in English.

At Charles University’s Faculty of Social Sciences, a two-year master’s degree program in Finance and Data Analytics is offered. It is taught in English and pairs finance with data analytics, focusing on data-driven analysis of financial markets and organizational information.

5. Prague University of Economics and Business

The Prague University of Economics and Business (VŠE) was established in 1953. It is widely known as Czechia’s largest public university in the field of economics and business. It has six faculties, five of which are located in Prague: the Faculty of Finance and Accounting, the Faculty of International Relations, the Faculty of Business Administration, the Faculty of Informatics and Statistics, and the Faculty of Economics. The Faculty of Management is located in Jindřichův Hradec.

VŠE offers a master’s degree program in Economic Data Analysis at its Faculty of Informatics and Statistics. It is a two-year, full-time study program taught in English, and it requires 120 ECTS credits.

We hope this article on some of the best data science universities in the Czech Republic was helpful. Feel free to check out the Available Programs for International Students and learn more about studying abroad.

About the Author: Hyun Lee

Hi! I am Hyun, and I am the founder at Global Scholarships. I've received a full-tuition scholarship at Birmingham-Southern College and a $1,000 Burger King Scholarship for my undergraduate degree and was offered a fully funded scholarship consisting of tuition, living stipend, and health insurance for computer science Ph.D. program at North Carolina State University. You can read more about my scholarship journey here. If you are interested, you can follow me on Linkedin where I regularly write about scholarships.

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