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Data Science and Engineering

The first in Lithuania. This program has earned this title due to its goal of combining the fields of data science and data engineering into one, first-cycle studies. Two areas merge here: applied mathematics dominates, but the information system is not far behind. By combining these two strands in your knowledge arsenal, you can become a unique profile professional, ready to work in interdisciplinary teams, develop models, and address information systems challenges with knowledge from data science.

Description of Study Programme
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  i Full-time studies - 3426 €

Entry requirements

Minimum requirements

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Maximum 3 years after high school graduation is eligible.

Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

The entry qualification documents are accepted in the following languages: English / Russian.

The documents must be legalised (Apostille) by the Ministry of Foreign Affairs of the country where the documents were issued. This requirement does not apply for the documents issued in the EU and Belarus, Ukraine.

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Minimum average grade (CGPA) > 60 % in each entry subject.


Score structure


Tuition fee

The tuition fee applied for the academic year 2021-2022 is indicated below.

Foreign nationals with Lithuanian origins and EU citizens
Full-time studies 3426 €
Price per credit 57,1 €
Partial tuition fee waiver can be applied for the study price.


Financial support






Subjects of the study programme by semesters






Where to worlds merge

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.


Knowledge from a whole new angle

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.


Latest software

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.


Innovations for Europe

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.


Number of jobs keeps is growing

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.



Your knowledge will allow you to:

  • 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.



You may become

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.