Entry requirements for Machine Learning
To be eligible for the master's programme in Machine Learning, you must meet the listed admission requirements and submit the documents required in your application. We will assess your application according to the selection criteria set for the programme. The same process applies to students with a bachelor's degree from a Swedish university.
Admission requirements
Bachelor's degree
Academic qualifications from an internationally recognised university equivalent to a Swedish bachelor's degree.
Students in their final year of bachelor's studies can meet the requirement if they follow the
instructions from University Admissions
.
Final-year students at Swedish universities
must have completed 150 ECTS credits in their programme by 3 February.
English proficiency
English proficiency equivalent to the Swedish upper secondary course English 6.
You can meet the requirement with an English test, for example an overall IELTS score of 6.5 or a TOEFL score of 90. Depending on your country of previuous studies you could also meet the requirement through completed upper secondary or university studies. Visit
University Admissions
to see all recognised English tests and what applies to your country of previous studies.
Specific requirements for Machine Learning
A Bachelor’s degree, or equivalent, corresponding to 180 ECTS credits, with at least one level in mathematics and computer science that corresponds to the courses below at KTH:
- SF1624 Algebra and Geometry
- SF1625 Calculus in One Variable
- SF1626 Calculus in Several Variables
- SF1920 Probability Theory and Statistics
- DD1337 Programming
- DD1338 Algorithms and Data Structures.
Some conditionally elective or recommended courses may have additional requirements for special eligibility.
Application documents
You need to submit all of the following documents according to the instructions from
University Admissions
.
Programme document
Letter of motivation
The letter of motivation explains why you have chosen this programme at KTH, what you hope to gain from it and how your interests and skills will help you succeed in your studies. Include an autobiography with the development and relevance of your academic and professional pursuits, extra-curricular activities and related experiences. KTH does not require a standard template, but it must be in English and less than 500 words. If you apply to multiple programmes that require a letter of motivation, you should submit one for each and state which programme each letter applies to at the top of the page.
Programme document
Letters of recommendation
Two letters of recommendation describing why you are the right choice for admission. Preferably, have one referee from an academic environment and one from a professional setting. If you apply for multiple programmes at KTH that request letters of recommendation, you may use the same letters for several programmes. You must provide an English translation if the letters are in a different language. The letters must have the referees' full contact details. If your referee wants to submit the letter themselves, they must send it by post to
University Admissions
and state your name and application number. They can not submit the letter via email.
programme document
Summary sheet
Submit the
summary sheet for Machine Learning
, available via the link when the application is open. If you do not submit a complete summary sheet, it will negatively affect your evaluation score. Fill out all of the required information before submitting the form. For questions regarding the summary sheet, please contact the
programme coordinator
directly.
Selection criteria
The selection process is based on the following criteria:
1. Grades from previous study and particularly in subjects relevant to the programme.
2. Motivation for studies (awards, prizes, publications and letters of motivation).
3. Prior education.
Prior education is evaluated based on the quality and suitability of the subjects that are relevant for the programme applied to. For international prior education, university ranking is also part of the merit rating. The merit rating is carried out on a scale of 1-75.
Acceptance rate
The acceptance rate for the master's programme in Machine Learning for 2024 was 9 %. We admitted 82 students out of the 917 applicants that met the admission requirements. To increase your chances of getting admitted to KTH, we advise you to select more than one programme when applying. You can apply for up to four programmes and rank them in your order of preference.
Recognition of prior learning
Suppose you entirely or partially lack a formal requirement for a course or programme, but you believe you have the necessary knowledge to meet the requirement. In that case, you can apply for
recognition of prior learning
.
