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Modelling and Data Analysis (Master)

Vilnius University Lithuania

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For more information about Modelling and Data Analysis at Vilnius University, please visit the webpage using the button above.

The award
Master

How long you will study
3 Semester

Domestic course fees
find out

How you will study
full-time

Course starts
September

International course fees
EUR 4500 per year

All study options

About Modelling and Data Analysis at Vilnius University

WHY STUDY MODELING AND DATA ANALYSIS PROGRAMME AT VILNIUS UNIVERSITY?

The aim of the programme 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 programme enables to continue further studies at universities abroad.

The programme offers two study options: econometrics and data science.

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Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMasterHow you will studyFull-timeHow long you will study3 semester
    Course startsSeptemberDomestic course fees find outInternational course feesEUR 4500 per year
  • The awardMasterHow you will studyPart-timeHow long you will study5 semester
    Course startsSeptemberDomestic course fees find outInternational course feesEUR 3000 per year

Notes about fees for this course

INTERNATIONAL MOBILITY

Students can participate in ERASMUS+ mobility programme which gives an opportunity to study at VU’s Partner University for 1 or 2 semesters or do internship abroad.

CAREER OPPORTUNITIES

The analytical modelling, planning, and forecasting work opportunities at various levels are open for Masters in Modelling and Data Analysis in: research centres; financial institutions in 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.

Entry requirements

  • Bachelor 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.

Postgraduate pathways and pre-masters at other institutions

If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:

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