Modelling and Data Analysis

About the programmme


Mode of studies and duration: full-time (1,5 years)

Study programme volume: 90 credits

Language(s) of instruction: Lithuanian/ English

Tuition Fees: 3250 Eur/year

Qualification degree awarded: Master of Mathematical Sciences in Statistics

Admission requirements: Bachelor's degree or equivalent qualification


The principal aim of the programme is to prepare highly qualified econometricians able to apply the laws and principles of econometrics to model and investigate the Lithuanian economy as well as to assist to improve the competitiveness of Lithuanian bussiness.

Why Modelling and Data Analysis?

  • The aim of the programme is to educate internationally recognized professionals in Modelling and Data Analysis who expertly utilize the up-to-date knowledge of Economics and Statistics in developing advanced econometric models for private and public institutions for planning, forecasting and evaluation of their activities.
  • The programme offers internationally competitive Master’s level econometric education.
  • Teachers are actively involved in research at the international level with an extensive experience in applied projects. The level of the programme enables to continue further studies at universities abroad: the Netherlands, Norway, United Kingdom, Spain, etc.

Career opportunities

The analytical modelling, planning, and forecasting work opportunities at various levels are open for Masters in Mathematical Sciences in Statistics 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.

International mobility

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

Admission requirements

ADMISSION REQUIREMENTS AND ADMISSION CRITERIA

  • Bachelor degree in mathematics, statistics, economics, or physicals science.
  • English language proficiency - the level not lower than B2 (following the Common Framework of Reference for Language approved by the Council of Europe).
  • On-line entering exam.
  • Syllabus for the Entrance Exam will be available soon.

Courses

COURSE INFORMATION

 

OPTION: ECONOMETRICS OPTION: DATA SCIENCE
Course units (modules) Credits Course units (modules) Credits
SEMESTER 1
30.0 SEMESTER 1
30.0
Compulsory subjects (units) 20.0 Compulsory subjects (units) 20.0
Multivariate Statistics 5.0 Multivariate Statistics 5.0
Microeconomic Analysis 5.0 Data Mining 5.0
Parametric and Nonparametric Econometrics 10.0 Parametric and Nonparametric Statistics 10.0
Optional subjects (units) 10.0 Optional subjects (units) 10.0
High Frequency and Functional Data Analysis 5.0 High Frequency and Functional Data Analysis 5.0
Panel Data Econometrics 5.0 Panel Data Econometrics 5.0
Simulation Methods in Econometrics 5.0 Spatial Databases 5.0
Modern Mathematical Economics 5.0 Multidimensional Data Structures 5.0
SEMESTER 2 30.0 SEMESTER 2 30.0
Compulsory subjects (units) 20.0 Compulsory subjects (units) 20.0
Asymptotic Statistics 10.0 Asymptotic Statistics 10.0
Financial Econometrics 10.0 Big Data Analysis 10.0
Optional subjects (units) 10.0 Optional subjects (units) 10.0
Econometrics of Industrial Organization 5.0 Econometrics of Industrial Organization 5.0
Bayesian Statistics 5.0 Bayesian Statistics 5.0
Game Theory 5.0 Game Theory 5.0
Predictive analytics 5.0 Predictive analytics 5.0
Macroeconomic Theory 5.0 Multidimensional Data Visualization 5.0
SEMESTER 3 30.0 SEMESTER 3 30.0
Compulsory subjects (units) 30.0 Compulsory subjects (units) 30.0
Master's Thesis Seminar 5.0 Master's Thesis Seminar 5.0
Master Thesis 25.0 Master Thesis 25.0

 

Study Programme Description

Key learning outcomes

After taking the courses the students should be able to: independently model, estimate and test  relationships between variables; practically apply basic principles of econometrics when analysing real data and forecasting economic processes; investigate the dynamics of financial markets; create and maintain macroeconomic models; estimate financial risks; professionally operate econometric software; learn R programming skills; work with economic data bases.

Contacts

Do you have more questions? Please contact us:

Study Programme Committee

 

Chair of the study Programme Committee - prof. habil. dr. Remigijus Leipus

  • prof. habil. dr. Vydas Čekanavičius
  • prof. habil. dr. Alfredas Račkauskas
  • doc. Virmantas Kvedaras
  • lekt. dr. Jurgita Markevičiūtė
  • dr. Marius Dundulis - social partner (Euromonitor International)
  • Students' representative

Study programme is implemented by:

Department of Econometric Analysis