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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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APPLY NOW
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.
Programme structure
The programme has the following structure for full-time studies*:
Course unit title |
ECTS
credits
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Course unit title |
ECTS
credits
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1 semester
Option: Econometrics
Compulsory courses
Multivariate Statistics
Parametric and Nonparametric Econometrics
Microeconomic Analysis
Elective courses**
Modern Mathematical Economics
Panel Data Econometrics
Game Theory
Option: Data Science
Compulsory courses
Multivariate Statistics
Parametric and Nonparametric Statistics
Data Mining
Modern Mathematical Economics
Elective courses**
Game Theory
Panel Data Econometrics
Digital Image Processing
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30.0
5.0
10.0
5.0
5.0
5.0
5.0
5.0
10.0
5.0
5.0
5.0
5.0
5.0
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2 semester
Option: Econometrics
Compulsory courses
Functional Data Analysis
Financial Econometrics
Elective courses**
Bayesian Statistics
Econometrics of Big Data
Sample Surveys
Deep Learning Methods
Option: Data Science
Compulsory courses
Functional Data Analysis
Big Data Analysis
Elective courses**
Bayesian Statistics
Multidimensional Data Visualization
Deep Learning Methods
Sample Surveys
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30.0
10.0
10.0
5.0
5.0
5.0
5.0
10.0
10.0
5.0
5.0
5.0
5.0
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3 semester
Compulsory courses
Master's Thesis Seminar
Master Thesis
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30.0
5.0
25.0
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*Please contact us by e-mail to learn more about the study plan of part-time studies.
**The supply of elective course might vary depending availability.
DOWNLOAD FULL PROGRAMME CURRICULUM
Programme Specific Requirements
- At least first level studies leading with a bachelor diploma are required
- 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 is held by electronic means remotely
In addition, all applicants have to fulfil general admission requirements.
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.
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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.
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"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
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* 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