Data science in Lithuania is a good option if you want a European degree with English-taught study and a clear admissions process. You can usually apply for a bachelor’s or a master’s programme, depending on your current education. The exact rules, tuition and deadlines depend on the university, so always check the programme page and the national migration or study visa source if you need a permit.
What data science study levels are available?
In Lithuania, you will usually find data science at two main levels:
- Bachelor's degree - for students finishing secondary school and starting university.
- Master's degree - for students who already have a relevant bachelor's degree in computing, maths, statistics, engineering, economics or a related field.
Some universities may offer data science as a direct programme, while others offer a related name such as artificial intelligence, informatics, business analytics, or computer science with a data focus. Read the module list, not only the title. That tells you what you will really study.
Typical subjects can include:
- programming
- statistics and probability
- machine learning
- databases
- data visualisation
- research methods and project work
Can you study in English?
Yes. Many Lithuanian universities offer English-taught programmes, especially in technical and business fields. Do not assume every data science course is in English. Check the programme page and look for the language of instruction.
For admission, universities usually ask for proof of English if your previous education was not in English. Common proof includes:
- IELTS or TOEFL
- school or university documents showing English study
- other tests accepted by the university
Each university sets its own minimum score or accepted proof. Some programmes may also ask for mathematics, programming, or statistics background. For a master's, they may want a transcript that shows enough credit in these subjects.
Typical admission requirements
The exact list depends on the level and university, but these are common requirements for international students:
- passport or ID
- secondary school diploma for bachelor’s applicants
- bachelor’s diploma and transcript for master’s applicants
- grade transcript
- English proof
- CV
- motivation letter
- sometimes recommendation letters or a portfolio of projects
For a master's, the university may also check whether your previous degree is close enough to data science. If your background is weaker in maths or coding, some universities may still accept you with conditions, but others will not. Always read the admissions rules for the exact programme.
If you need a student visa or residence permit, check the Lithuanian migration authority and the university's international office. You may need proof of admission, money for living costs, health insurance, and a place to live. The list can change, so use official sources only.
How much does it cost?
Tuition in Lithuania varies a lot by university, level and whether the university is public or private. For data science and similar programmes, a realistic yearly range is often:
- EU/EEA students - sometimes lower tuition, and in some cases no tuition in state-funded places, but not always. Check the programme page and the national admissions rules.
- Non-EU students - often a tuition fee in the range of a few thousand to over ten thousand euros per year, depending on the university and programme.
Do not use a general number as a guarantee. Some programmes are cheaper, some are more expensive, and scholarships can change the final amount. Always verify the current fee on the university's admissions page.
Living costs are usually lower than in many Western European cities, but they still matter. A student budget often includes:
- rent or dormitory
- food
- local transport
- phone and internet
- books and study materials
For a simple monthly budget, many students plan for several hundred euros or more, depending on the city and housing choice. Vilnius is usually more expensive than smaller cities. Check current student housing prices before you apply.
When should you apply?
Start early. For many universities, applications for autumn intake open months before the semester starts. Deadlines can differ by programme and by whether you need a visa, so do not wait until the last minute.
A practical timeline looks like this:
- 9-12 months before study - compare programmes, language rules and costs.
- 6-9 months before study - prepare documents, translations and English proof.
- 3-6 months before study - submit the application and wait for assessment.
- after admission - pay any required deposit, arrange housing and start visa or residence steps if needed.
Some universities use an online application portal. Others may ask you to upload documents by email or through a central admissions system. Keep scans clear and complete. Missing pages often slow down review.
How universities find candidates
In Lithuania, universities often search international student databases and enquiry platforms to find candidates who match a programme. They look for students with the right field, education level and English level. If you create a profile with your academic background and documents, admissions teams can contact you first if you fit what they need.
This can help if you are still comparing options or if you want universities to see your profile before you submit many separate applications. It does not replace the official application. You still need to apply through the university process and send the required documents.
Common questions
Do I need to know Lithuanian?
Not always. Many data science programmes for international students are taught in English. Lithuanian may help you with daily life, but it is usually not required for the programme itself. Check the language of instruction on the programme page.
Can I study data science in Lithuania without a strong coding background?
For a bachelor's, you may start with little or no coding background if the programme is designed for beginners. For a master's, universities often expect more prior study in computer science, maths or statistics. Read the entry profile carefully.
Are scholarships available?
Sometimes. Scholarships and tuition reductions may exist for international students, but they are limited and competitive. The best source is the scholarship's own website or the university's scholarship page. Never assume funding is automatic.
How Eduuro helps
Create a free profile with your field, education, English level and documents, and admissions offices that search for exactly that can find you and write first.
This can save time when you are comparing universities and want to be seen by programmes that match your background.
Rules, fees and deadlines change. Check the university's own admissions page and the official immigration site of the country before you act on anything here.