A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is: 80 credits in computer science and mathematics; 15 credits in computer science including 10 credits in programming; 30 credits in mathematics including 5 credits in linear algebra, 5 credits in several variable calculus and 5 credits in statistics and probability.
Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries.
Are you interested in immersing yourself in large amounts of data? Maybe you want to develop your knowledge to help solve some of today's societal problems. With a Master's degree in Data Science, specialising in machine learning and statistics, you will learn how to make advanced statistical analyses and extract knowledge from big quantities of data. The Master's Programme in Data Science with a specialisation in Machine Learning and Statistics will provide you with the knowledge, tools and skills to succeed in a wide range of different positions that involve the analysis of large amounts of data. This specialisation provides the general skills needed by a data scientist, as well as advanced skills in machine learning, reinforcement learning, computer-intensive statistics, and selected mathematical topics in Data Science. During the programme, you can expect to: learn how to make advanced statistical analyses, gain a robust understanding of both the mathematical foundations of data science and its computational aspects; work alongside internationally renowned research teams in data science; and delve into the ethical and legal aspects of data science. Companies such as Netflix, Amazon and Spotify collect user data to generate relevant predictions and recommendations about what t