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Programmes in English 2025/2026
Graduate Studies
Data Science and Statistics
Data Science and Statistics
This application system is intended non-EU applicants. Citizens of the Republic of Lithuania or other member states of the European Union (EU) or European Economic Area (EEA), as well as persons (non-EU/EEA) granted a right of permanent residence in the Republic of Lithuania, holders of Diaspora and people of Lithuanian origin have a possibility to apply for a state-funded place. More information.
Graduates of 2 year Master's degree studies receive a Master of Mathematics.
overview
| Degree |
Master of Mathematics
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| Length, structure |
2 years (4 semesters) graduation is finalized with the defense of Final project
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| Tuition fee for non EU citizens |
5950 EUR per year
For EU/local citizens State funding is available, more information.
|
| Start | 1st of September |
| Entry Qualifications | To this programme applicants are accepted from fields of Computer sciences, Informatics engineering, Mathematics, and Statistics. |
What is this study programme aim?
To train specialists with knowledge of mathematical statistics and computer science related to the analysis of big data, who are familiar with the functionalities of modern business analytics software tools, and who are able to apply methods of statistical analysis, statistical modelling and forecasting to solve problems that arise in scientific research and practice.
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What are the outcomes of this study programme?
Knowledge
• Knowledge of the connections between data analysis, probability theory, and mathematical statistics, as well as linear and nonlinear regression and classification models.
• Comprehension of the mathematical models used in statistical data analysis, as well as methods for selecting these models, evaluating their parameters, and assessing model quality.
• Knowledge of programming languages (R and Python), their possibilities for data analysis, and mathematics and computer science methods suitable for creating models for data analysis of various scales
Ability to Perform Research
• Proficiency in creating mathematical models for solving problems in finance, economics, and other scientific fields, and justify their suitability.
• Ability to create mathematical models for both small and large-scale data, evaluate their parameters, check the model's suitability for the available data, and compare multiple models with each other.
Special Skills
• Ability to select appropriate models for the economic objects and social phenomena under research, apply them using statistical software, solve practical business tasks, summarise and interpret research results.
• Ability to program in R and Python, prepare data for analysis, create statistical models, evaluate their parameters, prepare the results of statistical research for further analysis, and present them to the public.
Social Skills
• Ability to present scientific research to specialists and non-specialists in a clear and argumentative way, critically evaluate, and discuss it.
• Ability to work in an interdisciplinary and international team, participate in professional networks.
Personal Skills
• Ability to study and improve independently in selected areas of mathematics, statistics and their applications, and to plan the learning process throughout life.
• Ability to make decisions independently, assess their consequences and their complexity.
• Knowledge of the connections between data analysis, probability theory, and mathematical statistics, as well as linear and nonlinear regression and classification models.
• Comprehension of the mathematical models used in statistical data analysis, as well as methods for selecting these models, evaluating their parameters, and assessing model quality.
• Knowledge of programming languages (R and Python), their possibilities for data analysis, and mathematics and computer science methods suitable for creating models for data analysis of various scales
Ability to Perform Research
• Proficiency in creating mathematical models for solving problems in finance, economics, and other scientific fields, and justify their suitability.
• Ability to create mathematical models for both small and large-scale data, evaluate their parameters, check the model's suitability for the available data, and compare multiple models with each other.
Special Skills
• Ability to select appropriate models for the economic objects and social phenomena under research, apply them using statistical software, solve practical business tasks, summarise and interpret research results.
• Ability to program in R and Python, prepare data for analysis, create statistical models, evaluate their parameters, prepare the results of statistical research for further analysis, and present them to the public.
Social Skills
• Ability to present scientific research to specialists and non-specialists in a clear and argumentative way, critically evaluate, and discuss it.
• Ability to work in an interdisciplinary and international team, participate in professional networks.
Personal Skills
• Ability to study and improve independently in selected areas of mathematics, statistics and their applications, and to plan the learning process throughout life.
• Ability to make decisions independently, assess their consequences and their complexity.
Exchange Period Abroad?
According to various international cooperation and exchange programs there is an opportunity to study in Germany, Austria, Finland, Greece, Portugal, South Korea, Taiwan, Poland, Ukraine, Belarus and many other countries around the world for one or two semesters.
CUSTOMIZE YOUR EXPERIENCE
You will have plenty of opportunities to apply and diversity your skills through graduate projects, internships, career programmes, clubs and societies.
What about career opportunities after Master's degree studies?
Graduates can join PhD studies or will have the following carrier opportunities:
• Work as Data analysts, Business systems analysts, Risk assessment specialists;
• Work as project managers in business and state enterprises and companies in Lithuania and abroad;
• To study in the field of physical sciences in the field of mathematics in the doctoral program in Lithuania and abroad.
• Work as Data analysts, Business systems analysts, Risk assessment specialists;
• Work as project managers in business and state enterprises and companies in Lithuania and abroad;
• To study in the field of physical sciences in the field of mathematics in the doctoral program in Lithuania and abroad.
Student testimonials
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Ieva from Lithuania
Graduated from Data Science and Statistics study programme
After graduating with a Bachelor’s degree in Mathematics, I decided to pursue a Master’s degree in Statistics at one of Lithuania’s universities. I chose VILNIUS TECH not only due to recommendations from peers and colleagues but also for the opportunity to try out the Master’s programme by taking the complementary course “Optimization Problems in Statistics” for one semester. The quality of teaching and the professor‘s engagement with students made it easy to choose VILNIUS TECH for my graduate studies, a decision I have not regretted. The Data Science and Statistics programme provided me with essential knowledge about modern analysis technologies for various types of data, taught me how to apply modeling and forecasting methods, and enhanced my R and Python programming skills. I am grateful to all the lecturers and professors I encountered during my studies, who encouraged me to expand my knowledge, contributed to my professional growth, and inspired me to pursue further doctoral studies.
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