|Study location||Estonia, Tartu|
|Nominal duration||2 years|
|Tuition fee||€3,800 per year
There are 20 tuition-waivers available for top ranked applicants (regardless of citizenship) in 2020/21. More information on tuition fees is available at www.ut.ee/tuition-fees.
|Application fee||€50 one-time
Application fee is non-refundable.
Undergraduate diploma (or higher)
Bachelor’s degree or equivalent qualification – for country-specific document requirements please see www.ut.ee/country-specific.
Eligible applicants must have completed the following in their prior learning period: mathematics for the value of 9 ECTS and probability and mathematical statistics for the value of 6 ECTS.
Please be sure to check further information on required documents and our step-by-step application guide at www.mtk.ut.ee/quantitative-economics-ma.
The entry qualification documents are accepted in the following languages: English / Estonian.
All applicants must comply with our English language requirements. The only acceptable English tests and exempt categories are specified at www.ut.ee/requirements.
A motivation letter must be added to your application.
Write a brief motivation letter based on the following points:
• give an overview of your objectives and motives to study in the Quantitative Economics programme;
• clearly defined perspectives, career aspirations and motivation for studying economics (maximum 25 points);
The English-taught master’s programme in Quantitative Economics gives students strong preparation in contemporary economic theory and econometric analysis methods enabling them to analyze and forecast economic processes. The programme has a special focus on micro- and macroeconomic theory and it gives a training in solving real life economic problems via the application of state-of-the-art economic analysis techniques.
The objective of the curriculum is to prepare highly qualified analysts for the government agencies, banks, international organizations and consultancy firms, filling top positions that require a detailed understanding and application of economic models and econometric methods.
Graduates are competitive as analysts in public sector, financial sector, multinational companies, consultation firms etc.