Data Analytics for Economics and Finance
About
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.
Prerequisites and selection
Entry requirements
Admission to the course requires a minimum of 30 credits of Statistics, of which at least 15 credits have obtained a passing grade, or 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
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
After graduation
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 behavioral economics.
Facilities
Most of the Business School's operations are located at Vasagatan 1, but we also have premises at Viktoriagatan 13. The premises at Vasagatan 1 house the financial library, which is several floors high and has many study places.
