OpenFieldKTH Master of Science in Machine Learning
World-renowned two-year English-taught Master's program (120 ECTS) covering deep learning, probabilistic graphical models, computer vision, reinforcement learning, and an individual 30-ECTS degree thesis.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Bachelor's degree with major in Computer Science or Mathematics with strong grades in linear algebra, probability, and algorithms.
- English language proficiency
- Academic IELTS 6.5 overall (minimum 5.5 in each section).
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Curriculum vitae and detailed summary of undergraduate mathematics and programming modules.
- Recommendation letters
- Official university transcripts, degree certificate, and passport copy.
How much will it cost? How much funding is available?
- Financial support / stipend
- Self-funded; eligible for KTH Scholarships (full tuition waiver) and Swedish Institute (SI) scholarships
- Application fee
- SEK 900 centralized application fee
- Tuition / joining costs
- SEK 80,000 per semester (SEK 320,000 total 2-year tuition for non-EU students; free for EU/EEA).
Dates and verification
- Application deadline
- January 15, 2027 for Autumn 2027 entry
- Last source review
- 2026-10-14
Important verification note
Facts reflect official KTH Royal Institute of Technology documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue