150 credits including 30 credits in data science at Master's level, and including 75 credits in mathematics and computer science of which at least 15 credits in computer science. Data, Ethics and Law (may be read in parallel). Proficiency in English equivalent to the Swedish upper secondary course English 6.
Specialisation in a technological application area. Project work in groups with a focus on working on a practical data science project. The course has two possible orientations; data science students meet students from other programs who contribute with problems, subject competence and data or data sources. Alternatively, the project is carried out in a research group under the leadership of a researcher at Uppsala University. The course also teaches soft skills: ethics, group work, introduction to project and time management and presentation techniques.
