Program Overview

Introduction to the Program

The Data Science program is a rapidly developing field of data analysis that combines modern and classical statistical methods with advanced information technologies, including neural networks and database management. The rapidly growing amount of data and its diversity increase the demand for qualified data analysts, providing unique career opportunities in both business and science.

Program Description

• Modern and interdisciplinary data science competencies
• High demand and career prospects
• Internationality and practical experience

Program Overview

Presentation

• Qualification level: Bachelor of Mathematical Sciences
• Department: Faculty of Mathematics and Informatics
• Duration (years): 4
• City: Vilnius
• Study field group: Mathematical Sciences
• Study field: Statistics
• Credits: 240.0
• Study form: Full-time
• Language: Lithuanian

Program Plan

View and familiarize yourself with the detailed study program plan.

Admission Requirements

Minimum Requirements

Minimum requirements indicate whether you can participate in the competition for the desired study place. These requirements depend on the year of completion of secondary education.

Minimum requirements for those who completed secondary education in 2026:

• Pass at least 3 state exams
  • Lithuanian language and literature with a general (B) or extended (A) course;
  • mathematics with a general (B) or extended (A) course;
  • the applicant's freely chosen state exam.
• Exam results must be at least the basic achievement level. This means that the arithmetic average of the three state exam evaluations must be at least 50 points.

If you completed secondary education earlier, check the requirements according to your year:

• Minimum requirements for applicants to state-funded places (VF) until 2026
• Minimum requirements for applicants to non-state-funded places (VNF) and state-funded places with a scholarship (VNF/ST) until 2026

Competitive Score

Subject | Form | Coefficient
---|---|---
Mathematics | Exam | 0.4
Information Technology or Physics or Biology or Chemistry or Geography or Economics and Business or Engineering Technologies | Exam or annual (A-level) grade | 0.2
Any subject not matching other subjects | Exam or annual (A-level) grade | 0.2
Lithuanian Language and Literature | Exam | 0.2

Additional Points

Additional points are added to your competitive score when applying to the university. Additional points can increase your overall competitive score and strengthen your chances of getting into the desired study program.

They are awarded for achievements demonstrating your activity, knowledge, and initiative - for example, for winning places in olympiads or competitions, high-grade graduation work, volunteering, or other significant achievements.

When applying for state-funded (VF), non-state-funded with a scholarship (VNF/ST), and non-state-funded (VNF) places, up to 2.5 additional points can be added to your competitive score.

Application Steps

1. Choose a study program: Familiarize yourself with all the offered bachelor's and integrated study programs and their requirements. Evaluate your interests, strengths, and professional ambitions. Also, explore the possibilities of individual studies, which we offer to students from the second year. This is a great opportunity to create a study plan tailored to your needs.
2. Check if you have additional requirements: For most applicants, it is enough to know which subjects make up the competitive score and meet the minimum requirements. However, in some cases, you may need additional diploma recognition and/or grade conversion. You may also need additional documents that would give you the opportunity to receive additional points.
3. Submit an application through LAMA BPO: During the general admission, applications are submitted through the LAMA BPO system.
4. Wait for an invitation to study and sign a contract: You will find the invitation to study by logging into your LAMA BPO account and will also receive it by email.

Study Results

• Data Science program graduates apply the main results of various fields of mathematics, operate with concepts, read and explain mathematical proofs, formulate and solve practical problems in mathematical language, using appropriate software tools. They select, modify, and manage data from various sources and databases, independently create simple relational databases, evaluate data reliability, classify them by source, scope, frequency, and flow, prepare for analysis, and identify problems solving analytical and practical problems. Graduates evaluate the limitations of data analysis methods and results, choose and apply appropriate methodology for the data analysis problem, optimally use software tools, evaluate the suitability and reliability of the created model, interpret the analysis results, identify meaningful information, and rely on it when making suggestions. They also independently prepare small-scale projects based on data analysis and create small data analysis report tools.

Financing

• Annual study fee when entering a non-state-funded place: 4,108 EUR
• 450th-anniversary scholarship

Scholarships

Vilnius University students can apply for scholarships for good academic performance, active scientific, sports, or social activities, as well as social support for students in difficult life situations.

State-Funded Loans

Students can use state-funded loans, which are provided according to the procedure established by the Government of the Republic of Lithuania. These loans are intended to help finance studies and living expenses during the study period.

Possible loan types:

• Loan for tuition fees - intended to cover tuition fees.
• Loan for living expenses - intended for daily expenses during the study period.
• Loan for partial studies abroad - intended for students going for partial studies under exchange programs.

The administration of loan issuance, mediated by the University, is carried out by the State Studies Foundation.

Reduction of Study Fees

The study fee can be reduced in the following cases:

• Active scientific activity: If a student is actively involved in scientific activities, the fee reduction can range from 30% to 100%, depending on the achievements (winner/prize-winner of world/European competitions, co-author of patents, winner/prize-winner of Lithuanian competitions).
• Active cultural activity: If a student has been actively involved in the university's cultural activities for at least 2 years, the fee reduction can range from 30% to 90%, depending on the achievements (member of the University's artistic collective, prize-winner in competitions).
• Active sports: If a student is actively engaged in sports and represents the University, the fee reduction can range from 30% to 100%, depending on sports achievements (member/candidate of the Olympic team, winner/prize-winner of world/European championships, SELL, Lithuanian championships).
• For University employees: The University employee's paid study fee can be reduced by up to 70% if they work at the University for at least half a job and have been working continuously for at least 10 months.

Compensation of Study Fees

This is an opportunity for students to refund part or all of the paid study fee for high academic achievements.

Career Opportunities

Data Science studies provide the opportunity to work in various sectors and organizations. In Big Data companies, graduates become data analysis specialists, creating insights and decisions based on large data streams. In finance, marketing, and other companies, they work as statistical analysis specialists, contributing to business decision-making. In the technology and IT sector, graduates become data analysis and decision-making process optimization specialists, implementing effective solutions. In state and international institutions, they work as data analysts, contributing to data management, analysis, and strategic decision-making.

Possible career paths:

• Data analysis specialists / statistical analysis specialists / data analysis and decision-making process optimization specialists / and data analysts