2020 08 21 Modelling and Data Analysis

About the programmme

Lenght of studies 1.5 years  / 2.5 years part-time Language English
Scope of studies 90 ECTS credits Tuition fee per year 5 000€ / 3 400€ part-time *; 4 787€ / 3 191€ part-time**
Qualification awarded Master in Mathematical Sciences Start of studies 01 September
Next application period 01 January - 1 June/15 July* Application deadline 1 June* / 15 July**

 * For applicants from non-EU/EFTA countries
** For applicants who do not need a Lithuanian visa and non-EU/EFTA applicants, if there is a Lithuanian embassy in their home country

 

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.

 

Student testimonials

2020 12 07 Daumantas BloznelisDaumantas Bloznelis, graduate from Lithuania

"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."

 

 

 2020 12 07 Irena MIrena Mikolajun, graduate from Lithuania

"Being interesting, stimulating and, not least, demanding, the studies form an excellent foundation for a future carrier as an Econometrician/Economist. During my studies I spent one year as a visiting student at Padua University, Italy with an Italian government grant. Further, after completing my studies, I entered the PhD in Economics program at Tinbergen Institute Rotterdam, The Netherlands. My educational background gave me a possibility to intern in institutions like Bank of Lithuania and European Central Bank. Taking all my experience together I would certainly recommend the  programme as a departure point for an interesting and rewarding carrier."

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.

 

Programme structure

The programme has the following structure for full-time studies*:

OPTION: ECONOMETRICS OPTION: DATA SCIENCE
Course unit title ECTS
credits
Course unit title ECTS
credits
SEMESTER 1
30.0 SEMESTER 1
30.0
Compulsory courses 20.0 Compulsory courses 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
    Modern Mathematical Economics 5.0
Elective courses** 10.0 Elective courses** 10.0
Panel Data Econometrics 5.0 Panel Data Econometrics 5.0
GameTheory 5.0 Game Theory 5.0
Modern Mathematical Economics 5.0 Digital Image Processing 5.0
SEMESTER 2 30.0 SEMESTER 2 30.0
Compulsory courses 20.0 Compulsory courses 20.0
Functional Data Analysis 10.0 Functional Data Analysis 10.0
Financial Econometrics 10.0 Big Data Analysis 10.0
Elective courses** 10.0 Elective courses** 10.0
Econometrics of Big Data 5.0 Multidimensional Data Visualization 5.0
Bayesian Statistics 5.0 Bayesian Statistics 5.0
Sample Surveys 5.0 Deep Learning Methods 5.0
Deep Learning Methods 5.0 Sample Surveys 5.0
SEMESTER 3 30.0 SEMESTER 3 30.0
Compulsory courses 30.0 Compulsory courses 30.0
Master's Thesis Seminar 5.0 Master's Thesis Seminar 5.0
Master Thesis 25.0 Master Thesis 25.0

 

*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

 

Contacts

Study Programme Committee

Vydas Cekanavicius

Head of the Study Programme Committee - Prof. Habil. Dr. Vydas Čekanavičius

  • Prof. Habil. Dr. Remigijus Leipus,
  • Assoc. Prof. Dr. Rūta Levulienė,
  • Assoc. Prof. Dr. Jurgita Markevičiūtė,
  • Assist. Dr. Tomas Plankis,
  • Prof. Habil. Dr. Alfredas Račkauskas,
  • Assoc. Prof. Dr. Viktor Skorniakov,
  • Ramunė Šabanienė, Social Partner „Danske Bank",
  • two student's representatives.