The purpose of the thesis examines the relationship between migration and economic growth that has taken place in the EU Member States during the period 2009-2019. The study includes three different theories, Borja's model, Solow's model and Romers' model. It's based on these models in order to be able to answer the study's question and achieve the purpose of this study. A multiple regression analysis is used with the help of panel data for those EU member states. The data material which is used in this study is taken from Eurostat and The World Bank. The GDP per capita growth is used as the dependent variable and the independent variables are Migration, Employment, Expenses, Education and Trade. The results of the regression analysis show that migration has a significant positive relationship with the GDP per capita growth. This supports Borja's (1995) assumptions that there is a migration surplus for the receiving countries when migrants enter, moreover many other studies that are mentioned later that indicate the same. The discussion part deals with the connection between economic growth and migration in which the connections between previous studies and the results from this study is discussed.