
Master in
Master in Data Science
Vilnius University

Key Information
Campus location
Languages
English
Study format
On-Campus
Duration
3 - 5 semesters
Pace
Full time, Part time
Tuition fees
EUR 5,157 / per year *
Application deadline
Request info
Earliest start date
Request info
* for full-time EU students; 3 438€/year for full-time EU students | 3 500€/year for part-time non-EU students; 5 200€/year for part-time non-EU students
Introduction
The aim of the program is to educate internationally recognized professionals in 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 program offers two study options: econometrics and data science.
Why this program?
- The only study program in the Baltics that includes advanced courses in econometrics, informatics, and mathematical statistics.
- The program is interdisciplinary, combining data analysis, informatics, and mathematical statistics.
- Depending on the student's choice, it is possible to choose subjects from statistics, informatics, or econometrics.
- Specialists in Data Science are very much in demand throughout the world. Data surround us and everyone wants to get information from the data; thus, specialists in Data analysis are very much in demand throughout the world. Data analysis is versatile and one will get the opportunity to work in various fields. No more boring tasks, a computer can do it for you. But you will be able to control the process, understand and create new methodologies, and present results for the clients and colleagues.
Career Opportunities
The analytical modeling, planning, and forecasting work opportunities at various levels are open for Masters in Data Science 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.