Prerequisites and selection
To be eligible to the course, the student should have a Bachelor's degree in any subject, or have successfully completed 90 credits of studies in computer science, software engineering, or equivalent. Specifically, the course requires: - 7.5 credits programming, - 7.5 credits introduction to data science or AI, such as DIT852 or DIT405, - 7.5 credits calculus or mathematical modeling (such as DIT856), - 7.5 credits probability theory, statistics, or mathematical statistics, such as DIT862. Alternatively have taken both of the following two courses: DIT847 and DIT278 (or equivalent) Applicants must prove knowledge of English: English 6/English B 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.