Masters in Data Science and Statistics

event on March 20th 2025

What are the outcomes of this study program?

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, and 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, and 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, and assess their consequences and their complexity.

What about career opportunities after Master's degree studies?

Graduates can join PhD studies or will have the following career opportunities:

• Work as a Data analyst, Business systems analyst, and Risk assessment specialist;
• 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.