Program Overview

Business Data Analytics Program

The interdisciplinary Business Data Analytics programme equips students with advanced skills in statistics, machine learning, business, and finance, enabling them to collect, analyse, and interpret complex data. Graduates learn to apply statistical methods across business and finance, communicate insights, and work independently or in teams. This three-year programme fast-tracks students into data-driven careers.

Program Details

• Interdisciplinary and modern competencies
• Opportunity to obtain a double degree
• International orientation and opportunities for further development

Presentation

• Qualification degree: Bachelor of Mathematical Sciences
• Department: Faculty of Mathematics and Informatics
• Duration: 3 years
• City: Vilnius
• Field of study group: Mathematical Sciences
• Field of study: Statistics
• Credits: 180.0
• Study form: Full-time
• Language: English

Programme Plan

Review and familiarize yourself with the detailed study program plan.

• Programme structure

Admission Requirements

Entry Qualification

• High school / secondary education (or higher)
• The gap since the completed secondary degree should not exceed five years for non-EU/EFTA applicants.
• Entry qualification documents are accepted in English or Lithuanian.

Language Requirements

• English proficiency is required.
• Accepted language certificates include IELTS Academic 6.5+, TOEFL iBT 81+, Cambridge English Exam 176+, Pearson PTE Academic 59+, LanguageCert IESOL B2, Duolingo English Test 120+, Password Skills Plus 6.5+, or another language proficiency certificate equivalent to B2 CEFR.

Other Requirements

• A motivation letter must be added to the application.
• Applicants from non-EU/EFTA countries are required to pass the OMPT-D exam (Online Mathematics Placement Test) with a score of at least 70%.

Admission Steps

1. Find your programme and check the application dates.
2. Check your eligibility and prepare the necessary documents.
3. Pay the application fee (100 per application) and submit your application.
4. Confirm the acceptance and pay the tuition fee within 15 calendar days from the date of the offer to study.

Learning Outcomes

• Independently collect, analyse, and interpret data, develop ideas, and critically justify arguments.
• Apply knowledge of statistics and business management to develop business data analytics projects.
• Use specialized software for business data analysis.
• Formulate business management problems using mathematical and statistical language and collect appropriate data for their solution.
• Adapt statistical models to solve practical problems.
• Select, evaluate, and apply mathematical, statistical, and machine learning models.
• Describe key concepts, principles, and models of microeconomics and macroeconomics.
• Critically and entrepreneurially evaluate business management processes in the context of international economic changes.

Financing

• Annual tuition fee for a state non-funded place: 4,500 EUR for non-EU students / 4,201 EUR for EU students.
• The application fee is 100 per application, non-refundable.

Career Opportunities

Business Data Analytics studies provide opportunities to work across various sectors and organizations, including roles such as consultants, customer behavior analysts, creators of personalized recommendation systems, demand forecasters, and specialists in data-driven business decision-making.