Modelling and Data Analysis

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Scope of studies and length
90 ECTS credits, 1,5 year / 2,5 years part-time

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Qualification awarded
Master in Mathematical Sciences

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Application period
1 January - 1 June/15 July*

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Language
English

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Tuition fee per year
EU students: 4 787€ / 3 191€ part-time 
non-EU students: 5 000€ / 3 400€ part-time

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Start of studies
1 September

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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.

Why this programme?

  • Specialists of Data analysis are very much in demand throughout the world. Data surround us and everyone wants to get information from the data; thus, specialists of 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, present results for the clients and colleagues.

What's after?

  • 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 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.

Daumantas Bloznelis"I chose to pursue a Master’s in Mathematical Sciences since econometricians are highly valued and in great demand in today’s data-rich world. The study program was intensive and challenging yet highly rewarding. It provided me with a solid fundament in statistical modelling and forecasting of economic and financial data. After graduation I easily got a job in an investment bank, then earned a PhD in Economics in Norway. If you are up for a challenge, a career in econometrics promises a bright future."

Daumantas Bloznelis, graduate from Lithuania

* Application deadline:

1 June | for applicants from non-EU/EFTA countries
15 July | for applicants who do not need a Lithuanian visa and non-EU/EFTA applicants, if there is a Lithuanian embassy in their home country