Master in Quantitative Economics University of Tartu

Quantitative Economics is a 2-year Master’s programme at University of A Tartu that gives students strong preparation in contemporary economic theory and econometric analysis methods enabling them to analyse and forecast economic processes. The programme has a special focus on micro- and macroeconomic theory and it gives training in solving real life economic problems via the application of state-of-the-art economic analysis techniques. The graduates will be able to continue their education in international level economics PhD programmes or follow a career as analysts in banks, public sector organizations, consultation firms and international companies.

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The English-taught master’s programme in Quantitative Economics at University of Tartu gives students strong preparation in contemporary economic theory and econometric analysis methods enabling them to analyse and forecast economic processes. 

  • Taught by top specialists of their field in an international environment.
  • A special focus on micro- and macroeconomic theory.
  • Gives a training in solving real life economic problems via the application of state-of-the-art economic analysis techniques.
  • Springboard for PhD studies in economics or follow a career as analysts in banks, public sector organisations, consultation firms and international companies.

Aims

The objective of the curriculum is to prepare highly qualified analysts for the government agencies, banks, international organisations 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.

Part of the studies is a mandatory internship which helps students make career choices after graduation.

What will you get from this programme?

After completing the programme, the student:

  • knows the main concepts in economics and has acquired the skills of making critical assessments over the applicability of these concepts;
  • has acquired the ability to apply both micro- and macroeconomic models for analysing the problems which arise in economic practice;
  • knows how to verbally, graphically, mathematically and empirically analyse and forecast both the behaviour of economic agents and also the impact of governmental policies;
  • has gained the experience of conducting scientific research and solving real life economic related problems in practice.

Programme details

Title Quantitative Economics

Language English

Level of study Master's

Location Tartu, Estonia

Degree awarded Master of Arts in Social Sciences

Faculty Faculty of Social Sciences

Duration 2 years 

Credits 120 ECTS 

Study-form Full-time regular studies 

  • International class
  • International faculty
  • Lessons in foreign language 50%
  • International study tours
  • International traineeship
  • Traineeship at international companies
  • Attendance of the master abroad
  • Issuance of foreign diploma and certifications
Tuition-waiver scholarships available
Cost of the master: Not declared
Scholarships available
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        Master in Quantitative Economics

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                  Social stream

                  Provenance Students Worldwide:
                  Detail of origin:
                  Europe
                  25%
                  10%
                  15%
                  40%
                  10%
                  Finland
                  10%
                  60%
                  10%
                  10%
                  10%
                  Gender:
                  40%
                  60%
                  Job Experience:
                  YES50%
                  NO50%
                  Age of participants:
                  • Under 25

                    70%
                  • 26 - 30

                    25%
                  • 31 - 35

                    5%
                  Total:
                  964
                  Foreigners:
                  10%
                  Profession Teaching Staff:
                  5%
                  University professors
                  55%
                  Researchers/lecturers/visiting professors
                  5%
                  Politicians, officers, lobbyists
                  30%
                  Professionals
                  5%
                  Consultants/freelancers
                  * The data could be related to the School and not to the Master