Eligibility and selection
Master's Programme, Machine Learning, 120 credits (TMAIM), Programme syllabus for studies starting in autumn 2018
Last edit: 19/12/2018
General admission requirements: See the KTH general admission requirements for Master’s programmes
Specific admission requirements: The prerequisites for the Master's programme in Machine Learning is a Swedish or foreign degree equivalent to Bachelor’s degree of 180 ECTS credits, with a level in Mathematics and Computer Science equal, or higher, than that of the following courses at KTH: SF1624 Algebra and geometry, SF1625 Calculus in one variable, SF1626 Calculus in several variables, SF1901 Probability theory and statistics, DD1337 Programming and DD1338 Algorithms and Data Structures.
Selection: If the number of applicants exceeds the number of places there will be a selection from the following criterias:
1. evaluation of university
2. grades from previous study
3. motivation to study
The evaluation scale is 1-75.