Bachelor in Quantitative Economics
Vilnius, Lithuania
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Jul 2025*
EARLIEST START DATE
01 Sep 2025
TUITION FEES
EUR 3,660 / per year **
STUDY FORMAT
On-Campus
* 1 may for applicants from non-EU/EFTA countries | 1 july for citizens of EU/EFTA
** application fee EUR 100
Introduction
The Quantitative Economics (QE) programme was created by the Bank of Lithuania researchers trained at the world’s best universities to transform economics education in the country. The course structure ensures an in-depth coverage of critical fields, namely data science and computing, finance, and economics, which are highly valuable in the job market. Over time other programmes have adopted similar structure, yet QE remains the most challenging, selective, and supportive programme. Each student has to pass a higher minimum grade bar and, upon admission, is matched with a senior mentor who provides tailored academic, career, and social advice.
The QE programme is taught by research-active lecturers and professors with PhDs from leading universities worldwide, helping to keep the contents of the course up to date. In addition, it is based on the CORE project, OpenStax and other modern teaching methods in economics and finance. Last but not least, the scholarships for the best students are provided by social partners, such as the Bank of Lithuania and Nasdaq, to mention a few.
Why choose this programme?
- This is the only three-year English-taught Bachelor‘s degree programme in Economics in the country.
- It is designed and delivered jointly with researchers at the Bank of Lithuania.
- Students are taught by research-active lecturers and professors with PhDs from leading universities around the world.
- Combines CORE project, OpenStax and other state-of-the-art open sources with quantitatively rigorous training in economics and finance.
- Our partner scholarships are available for the best students.
Program Outcome
- Acquire knowledge of the classical and modern theories and principles of economics and finance, and be able to apply them when analyzing economic problems.
- Acquire knowledge of quantitative methods and be able to competently apply them when working with different types of economic and financial data.
- Appreciate the possibilities and limits of scientific research methods when solving economic problems.
- Undertake applied research that uses empirical evidence to validate economic arguments.
- Apply critical thinking skills when analyzing economic problems.
- Explain and interpret mathematical models describing social phenomena.
- Critically evaluate the economic policy in real-world situations.
- Find relevant data, evaluate its quality, conduct a statistical analysis using modern software packages and prepare a final report using scientific typesetting tools.
- Work as an integral part of a team, while making individual suggestions and developing communication skills.
- Construct complex arguments and communicate them in a clear manner through written, graphical and oral formats.
- Expand one’s own understanding, knowledge and skills independently and learn to critically evaluate one’s own accomplishments.
- Organise and plan your own work independently and make decisions depending on circumstances.
Career Opportunities
Our graduates may be employed as a:
- Finance Analyst
- Economic Analyst
- (Big) Data Analyst
- Forecaster
Gallery
Curriculum
Scope of studies: 180 ECTS credits
Length: 3 years
1st Semester
Compulsory courses
- Economic Principles I
- Mathematical Methods I
- Statistical Theory I
2nd Semester
Compulsory courses
- Economic Principles II
- Mathematical Methods II
- Statistical Theory II
Elective courses (10 ECTS)
- General Course of University Education
3rd Semester
Compulsory courses
- Economic Theory I
- Econometric Theory and Practice I
- Finance I
Elective courses (10 ECTS)
- Comparative Economics
- Labour Economics
- Behavioural and Experimental Economics
- General Course of University Education
4th Semester
Compulsory courses
- Economic Theory II
- Econometric Theory and Practice II
- Finance II
- Computing and Data Analysis
- Further Quantitative Methods
5th Semester
Compulsory courses
- Applied Microeconomics
- Applied Macroeconomics
- Applied Finance
- Summer Internship
6th Semester
Compulsory courses
- Bachelor's Thesis
Elective courses (15 ECTS)
- Panel Data Econometrics
- Big Data Analysis
- Time Series Analysis
- International Macroeconomics and Finance
- Industrial Organization
- Financial Markets
Program Tuition Fee
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.