Faculty of Mathematics, Physics
and Informatics
Comenius University in Bratislava

Data Science

Bachelor's Degree Program 
(starting in 2020/2021)


Computer Science (master) and Mathematics (secondary)
(Computer Science and Applied Mathematics - until 31.8.2019)



Usual duration:

3 years

Program director:

doc. Mgr. Tomáš Vinař, PhD. (Computer Science) 
doc. RNDr. Radoslav Harman, PhD.  (Applied Mathematics)

Related study programs:master's degree program Data Science (in preparation, expected since 2023/2024)

Why Study Data Science?

Data are interesting and they drive innovation. In the 21st century, data plays a similar role in the digital economy as coal played in the 18th century in industrial development. Huge amounts of data allow us to exploit and develop new generations of technological solutions such as machine learning, artificial intelligence, advanced statistics, predictive behavioral analysis of users, customers, and markets. In addition, analyzing large data is a creative and interesting activity. Graduates have flexible career options. Processing of big data is becoming a basic building block in all areas thanks to massive development of information technologies. Data are important in all sectors and at all levels of organizations, even outside the IT industry: banking and finance, automotive, healthcare, transport, retail, energetics, game development, government, new areas of research such as bioinformatics, biomedicine, or modern physics. The study program will equip our students with unique combination of mathematical knowledge and practical IT skills. It is up to you which direction your career will take. The positions you can apply for include: Data Analyst, Data Scientist, Data Visualization Specialist, Statistician, Programmer, Big Data Analyst, Modeling Specialist.   Data science experts are in high demand and indispensable in practice. Unemployed data analysts do not exist. In the past year, the demand for data science experts has risen by more than 50% in the US. Data science professionals' salaries are higher than programmers' salaries and are growing at a faster pace. Most programmers become dissatisfied with their work over time. Data analysts are typically much more satisfied in their work.