The first and only one in Lithuania. This program, which combines the fields of data science and data engineering into one, arguably is the most promising 21st-century study program, that has earned such a title. A strong mathematical foundation and IT knowledge are a great tandem for those in a hurry to keep up with the changes in the digital age.
It is no secret that the amount of data generated daily is enormous and growing daily. What to do with zettabytes of data to keep it from becoming a digital recycle bin? Put them in the hands of a smart data scientist or data engineer. Such specialists are currently in great demand in the market, so high career prospects are guaranteed.
If you dream of exciting challenges, promising development, and a competitive salary, you want to master machine learning methods and create artificial intelligence systems – this is the place for you.
| Location |
Kaunas Faculty of Mathematics and Natural Sciences |
| Cycle | First cycle |
| Field | Applied Mathematics, Information Systems |
| Language | Lithuanian |
| Form | Full-time studies - 4 y. (day-time; on-campus) |
| Degree awarded | Bachelor of Mathematical Sciences |
| Yearly Price |
Full-time studies - 3836 €
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Talk to us, study with us
tel. +370 679 44 555
email studijos@ktu.lt
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The programme is only conducted in Lithuanian language. Entry requirements for this particular programme can be found in the programme description provided in Lithuanian language. |
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The indicated tuition fee is applied to 2025-2026 academic year. |
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| Foreign nationals with Lithuanian origins and EU citizens | |
| Full-time studies | 3836 € |
| Price per credit | 63,93 € |
| Partial tuition fee waiver can be applied for the study price. | |
Financial support
In the past, it was common for some professionals to work only with certain parts of the data cycle. However, you, future professionals in the blended math and computer sciences, will be able to work with data collection, storage, and management, tailoring it all to business.
The methods of data science and data engineering used in information systems are a completely new model. Therefore, by studying here, you will develop your mathematical and algorithmic thinking, you will be able to manage data and its most advanced databases, you will know the technologies of artificial intelligence.
You may not have heard of names like SAS, MATLAB, SQL, R or PYTHON yet. But for data scientists, these are the hallmarks of the highest quality. Here you will learn how to use it all.
In 2025, the data traffic in the world will rise to 175 zetabytes. What does this mean? This means that hundreds of billions of euros are earmarked for data management and their professionals – Europe is already preparing to recruit our future graduates.
It is not for nothing that the profession of data scientist is called one of the best in the world. Forecasts suggest that by 2025, the need for these professionals will double at least.
Are you interested in creating real products and services while studying? It is now possible to test yourself by getting involved in a product development project (PDP). During the project, you will work in teams, collaborating with KTU researchers and social partners. While solving current, relevant problems you will improve your teamwork, project management, and problem-solving skills, deepen professional knowledge and expand your career opportunities.
| – Find and analyze various sources of information and data. |
| – Create mathematical models of real systems, compare them with each other and interpret the results. |
| – Develop algorithms and applications, use software to create various data models. |
| – Identify problems in information systems and choose appropriate methods to solve them. |
| – Analyze, plan, model and forecast business activities. |
| – Design information systems and databases. |
These specialists analyze and interpret the data, and for this purpose they develop new algorithms based on artificial intelligence methods. They are characterized by versatility, creativity, know how to program well, are able to perfectly visualize data.
Such engineers are responsible for the design and maintenance of data repositories. They aim to reconcile data threads between different repositories and ensure that data is efficiently collected and passed on for further use.
These are professionals who process information and identify trends, look for solutions, and plan future actions. They use data analysis software and data management programs. Also – is able to clearly present the collected information to colleagues.
These are designers who analyze business processes, prepare tasks for programmers, and control their implementation. They are able to integrate different information systems. In addition, these specialists analyze the application possibilities of performance analytics.
Having a working experience of information systems gives a data scientist a great advantage in this specialty. Interdisciplinary program Data Science and Engineering, offers synergies between data science and information systems. We believe that the graduates of this program will be especially in demand in the labour market and will be able to realize themselves in various job positions in both the public and private sectors.
