Learning from data

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. In this course, you will learn how to analyze scientific data using statistics and machine learning. You will focus on Bayesian inference, which is a way of measuring how likely something is based on facts and evidence. You will apply Bayesian inference to real-world problems in natural and engineering sciences, and try to reproduce some cutting-edge scientific results. The students will use the Python programming language, with relevant open-source libraries, and will learn to develop and structure computer codes for scientific data analysis projects. Bachelor in Physics or similar. Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS. Selection is based upon the number of credits from previous university studies, maximum 165 credits.