The aim of the program is to educate internationally recognized professionals in Modelling and Data Science who expertly utilize the up-to-date knowledge of Statistics, Econometrics, and Data Science in developing advanced mathematical (statistical) models for private and public institutions for planning, management, forecasting, and evaluation of their activities. The level of the program enables you to continue further studies at universities abroad.
The program offers two study options: econometrics and data science.
Professor Dr. Remigijus Leipus, Director of the program:
“The program offers not only internationally competitive education in econometrics to work within industry and non-academic sector but also involves students and graduates in active research activities at national and international levels. Graduates of the program can choose doctoral studies in Economics, Econometrics, and/or Statistics at Vilnius University. Regardless of whether you are interested in working in the industry, or continuing with doctoral studies, you will be educated on the highly competitive level to reach your goals“.
Admission Requirements and Selection Criteria
Bachelor's degree in Mathematics, Statistics, Economics (with solid knowledge of Mathematics), Informatics, or Physical science.
English language proficiency - the level not lower than B2 (following the Common Framework of Reference for Language approved by the Council of Europe)*.
Assessment of motivation and entrance examination is held by electronic means remotely.
*Applicants from Belarus who do not have a test taken may apply without it because their language proficiency will be checked during an online interview.
Students can participate in the ERASMUS+ mobility program which gives an opportunity to study at VU’s Partner University for 1 or 2 semesters or do internships abroad.
The analytical modeling, planning, and forecasting work opportunities at various levels are open for Masters in Modelling and Data Analysis in research centers; financial institutions in the private sector (e.g. pension funds, stock exchanges, insurance companies, commercial banks, Hi-Tech start-ups); consulting firms; the analysis and planning units of business enterprises; central banks, ministries, and other public sector institutions.