Data Analytics for Economics and Finance

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. The course provides a practical introduction to working with large datasets. You will learn how to merge and filter data, analyze data quality, and visualize information to highlight insights. You will also gain a basic understanding of machine learning, a technique increasingly used in various industries. Through computer-based projects, you will have the opportunity to apply the methods you learn, giving you valuable experience that can be useful in both studies and professional life. Admission to the course requires a minimum of 60 credits of Economics, of which at least 45 credits have obtained a passing grade, or 60 credits of Finance, of which at least 45 credits have obtained a passing grade. Selection is based upon the number of credits from previous university studies, maximum 165 credits. Within many qualified jobs in the private and public sectors, a good ability to analyze complex socio-economic issues is required. Through studies in economics, you get tools to collect, analyze and interpret data. Our students are in demand on the labor market and work for, among others, major Swedish banks, Volvo, Swedbank, the Swedish Tax Agency, the Ministry of Foreign Affairs, the Ministry of Finance, and the University of Gothenburg. Another possibility is to go for a research career. The Department of Economics at the University of Gothenburg conducts research in a wide range of areas, such as environmental economics, financial economics, development economics and behav