KTH ROYAL INSTITUTE OF TECHNOLOGY · SWEDEN
Master's Programme in Machine Learning
Master's · Taught in en
At a glance
24 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
- 6%Acceptance rate (2026)
- 58Students admitted (2026)
- 1019Applicants meeting requirements (2026)
The Master's Programme in Machine Learning at KTH Royal Institute of Technology equips students with advanced knowledge and skills in the rapidly evolving field of artificial intelligence. This program focuses on the theoretical foundations and practical applications of machine learning, preparing graduates for impactful careers in research and industry. Students will delve into algorithms, data structures, and mathematical concepts crucial for developing intelligent systems.
Frequently asked questions
- What are the academic entry requirements for the Master's Programme in Machine Learning?
- You need a Bachelor's degree (or equivalent) with 180 ECTS credits. Your prior education must include mathematics and computer science courses equivalent to KTH's SF1624 Algebra and Geometry, SF1625 Calculus in One Variable, SF1626 Calculus in Several Variables, SF1920 Probability and Statistics, DD1337 Programming, and DD1338 Algorithms and Data Structures.
- What are the tuition fees for international students?
- Tuition fees apply for non-EU/EEA students. Specific amounts are not detailed on the provided pages, but the KTH Scholarship can cover full tuition fees for eligible Master's programmes.
- How do I apply for the Master's Programme in Machine Learning and for scholarships?
- Applications are submitted through universityadmissions.se. You must upload all required documents by the deadline, typically February 2nd, for both programme admission and KTH Scholarship evaluation. To apply for the KTH Scholarship, you must also complete a separate scholarship application form.
- What is the KTH Scholarship and what does it cover?
- The KTH Scholarship is a merit-based award that covers the full tuition fees for eligible Master's programmes. It does not cover living costs. Selection is based on academic excellence, drive for sustainable development, grades, university ranking, relevant experience, and motivation.
- What are the career prospects after completing this program?
- Graduates are prepared for careers in research and industry, focusing on the development of intelligent systems. The program equips students with skills relevant to the growing field of artificial intelligence.
- What is the application deadline?
- The application and document submission deadline is February 2nd for both programme admission and KTH Scholarship evaluation.
Entry requirements
Bachelor's degree (or equivalent) with 180 ECTS creditsMust include at least one level in mathematics and computer science corresponding to KTH courses: SF1624 Algebra and Geometry, SF1625 Calculus in One Variable, SF1626 Calculus in Several Variables, SF1920 Probability and Statistics, DD1337 Programming, and DD1338 Algorithms and Data Structures.
Prior education is evaluated based on quality and suitability. For international applicants, university ranking is also considered. Selection is based on grades, motivation (including awards, prizes, publications, and motivation letters), and prior education.
Fees
Tuition (international)Tuition fees apply for non-EU/EEA students. Specific amounts are not detailed on the provided pages.
Tuition (home)No tuition fees mentioned for home/EU/EEA students.
LivingLiving costs are not specified.
The KTH Scholarship covers full tuition fees for eligible Master's programmes, but not living costs. No scholarships are available for Bachelor's programmes.
How to apply
1. Apply for a Master's ProgrammeSubmit your application for the Master's Programme in Machine Learning through universityadmissions.se (or the relevant national portal).
2. Submit Supporting DocumentsUpload all required documents by the specified deadline, typically February 2nd, for the KTH Scholarship evaluation and programme admission.
3. Apply for Scholarship (Optional)If eligible and interested, apply for the KTH Scholarship using the form provided on their website during the application period. Ensure the programme is your first priority.
4. Selection ProcessAdmission is based on academic merit, prior education, and motivation. The scholarship selection runs in parallel and is based on academic excellence and contribution to sustainable development.
Scholarships
KTH ScholarshipCovers full tuition fee for one or two year Master's programmes.
Frequently asked questions
What are the academic entry requirements for the Master's Programme in Machine Learning?
+
You need a Bachelor's degree (or equivalent) with 180 ECTS credits. Your prior education must include mathematics and computer science courses equivalent to KTH's SF1624 Algebra and Geometry, SF1625 Calculus in One Variable, SF1626 Calculus in Several Variables, SF1920 Probability and Statistics, DD1337 Programming, and DD1338 Algorithms and Data Structures.
What are the tuition fees for international students?
+
Tuition fees apply for non-EU/EEA students. Specific amounts are not detailed on the provided pages, but the KTH Scholarship can cover full tuition fees for eligible Master's programmes.
How do I apply for the Master's Programme in Machine Learning and for scholarships?
+
Applications are submitted through universityadmissions.se. You must upload all required documents by the deadline, typically February 2nd, for both programme admission and KTH Scholarship evaluation. To apply for the KTH Scholarship, you must also complete a separate scholarship application form.
What is the KTH Scholarship and what does it cover?
+
The KTH Scholarship is a merit-based award that covers the full tuition fees for eligible Master's programmes. It does not cover living costs. Selection is based on academic excellence, drive for sustainable development, grades, university ranking, relevant experience, and motivation.
What are the career prospects after completing this program?
+
Graduates are prepared for careers in research and industry, focusing on the development of intelligent systems. The program equips students with skills relevant to the growing field of artificial intelligence.
What is the application deadline?
+
The application and document submission deadline is February 2nd for both programme admission and KTH Scholarship evaluation.