Master’s Program in Data Science, Statistics and Decision Analysis

About this programme

In today's society, massive amounts of data are generated at high speed. The data is also characterised by high variety and is becoming increasingly complex. We are constantly connected with computers and smart phones, while being surrounded by cameras and sensors that monitor and measure our lives constantly. Automation and digitisation are becoming increasingly important in a large number of areas and industries, and most companies and authorities store large amounts of data about their customers, users and processes. For example, the analysis of large amounts of medical data is becoming increasingly important in healthcare. The programme consists of courses in the following three subfields: data science, statistics and decision analysis. The program is a collaboration with the Department of Statistics. Please note that the selection process for autumn 2027 requires new supporting documentation. Follow the instructions under “How to apply” below. Courses of 30 credits are given within each subfield. Courses from the three subfields alternate so that at least one course from each subfield is given each semester, for the first three semesters. The program ends with a master thesis in the fourth semester. All courses are either within the main field of computer and systems science (DSV) or statistics (STAT). 1st semester Foundations of Data Science 7.5 credits (DSV) Decision Analysis I 7.5 credits (DSV) Statistics and data analysis for computer and systems sciences 15 credits (STAT)