Master in Quantitative Economics University of Tartu

Quantitative Economics is a 2-year Master’s programme 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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Aims

After completing the curriculum, 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.

  • 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: 3200 VAT free
Scholarships available
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University of Tartu

        Master in Quantitative Economics

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                    • Future editions departing
                    • Tartu - Estonia March 16, 2020

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                    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