Eligibility and selection

Master's Programme, Machine Learning, 120 credits (TMAIM), Programme syllabus for studies starting in autumn 2015

Last edit: 11/11/2016
Approved: 11/11/2016

General admission requirements: See the KTH general admission requirements for Master’s programmes, link below 

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: SF1604 Linear algebra (or SF1624), SF1625 Calculus in one variable, SF1626 Calculus in several variables, SF1901 Probability theory and statistics, and DD1341 Introduction to computer science (or DD1320, DD1321, DD1340, DD1344). Applicants must also provide a proof of good knowledge in English.

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

4.      merit rating

5.      references

6.      proficiency in English

The evaluation scale is 1-75.

Further information

Complete information on the eligibility requirements can be found in the local admission policy of KTH, see 

http://intra.kth.se/regelverk/utbildning-forskning/grundutbildning/antagning/

and on the KTH Studies web pages: http://www.kth.se/en/studies/programmes/master/admission