KTH ROYAL INSTITUTE OF TECHNOLOGY · SWEDEN
MSc Machine Learning
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- Two-year programme (120 ECTS)Duration
- Taught in EnglishLanguage
- Specialise in theoretical ML or application domainsFocus Areas
- Final semester dedicated to degree projectProject Work
- Strong industry links in Stockholm's tech hubCareer Opportunities
- Focus on sustainable development and ethical AISocietal Impact
This Master of Science program focuses on developing advanced algorithms for pattern recognition and prediction from data. You will gain a deep understanding of the mathematical and statistical foundations of machine learning and acquire practical skills to apply these techniques to solve real-world problems across various industries. The curriculum covers core machine learning and artificial intelligence concepts, with opportunities to specialize in theoretical machine learning or application domains like computer vision, speech processing, and computational biology. The program emphasizes both theoretical knowledge and hands-on implementation, preparing you for expert roles in industry or further doctoral studies. Stockholm's vibrant tech scene offers excellent opportunities for internships and future employment.
Curriculum
The program begins with mandatory courses in machine learning and artificial intelligence, followed by advanced topics and research methodology. You can then choose courses from areas like application domains (e.g., computer vision, deep learning) or theoretical machine learning (e.g., statistics, applied mathematics). The final semester is dedicated to an independent degree project.
- Year 1
- Introduction to Machine Learning
- Artificial Intelligence
- Advanced Machine Learning
- Research Methodology
- Year 2
- Elective Courses (Specialisation)
- Degree Project
Careers
Graduates are highly sought after in a growing job market driven by data availability and AI advancements. The programme prepares you for diverse roles in both established companies and innovative startups.
- Software Developer
- Deep Learning Engineer
- Computer Vision Engineer
- Data Analyst
- Software Engineer
- Quantitative Analyst
- Data Scientist
- Systems Engineer
Frequently asked questions
- What are the entry requirements for the MSc Machine Learning programme?
- You need a Bachelor's degree equivalent to at least three years of study from an accredited university, with a strong academic record in a relevant field like computer science, engineering, mathematics, physics, or statistics. Specific course prerequisites may also apply.
- How much does the MSc Machine Learning programme cost for international students?
- Tuition fees apply to non-EU/EEA students. Specific amounts are not detailed on the programme page, but KTH does offer merit-based scholarships that can cover the full tuition fee.
- What is the duration of the MSc Machine Learning programme?
- The programme is a two-year Master of Science, totalling 120 ECTS credits, and includes a dedicated degree project in the final semester.
- In what language is the MSc Machine Learning programme taught?
- The entire programme, including all courses and materials, is taught in English.
- How can I apply for the MSc Machine Learning programme and scholarships?
- International applicants must apply through universityadmissions.se between October and January. If eligible and interested, you can apply for the KTH Scholarship during its application period, using the same documents submitted for your programme application.
- What are the career prospects after completing the MSc Machine Learning programme?
- Graduates are highly sought after for roles such as Software Developer, Data Scientist, Deep Learning Engineer, and Quantitative Analyst in various companies and startups, particularly within Stockholm's tech scene.
Entry requirements
Bachelor's degreeEquivalent to at least three years of study from an accredited university. A strong academic record in a relevant field such as computer science, engineering, mathematics, physics, or statistics is required.
IELTSNot specified
TOEFLNot specified
Specific course prerequisites may apply. Please refer to the KTH website for detailed requirements.
Fees
Tuition (international)Tuition fees apply to non-EU/EEA students. Specific amounts are not detailed on the programme page.
Tuition (home)No tuition fees for EU/EEA students.
LivingLiving costs are not specified.
KTH does not offer scholarships for Bachelor's programmes, but does offer scholarships for Master's programmes.
How to apply
1. Apply for Master's ProgrammeSubmit your application for the MSc Machine Learning programme via universityadmissions.se. This is also the first step for scholarship consideration.
2. Submit Required DocumentsUpload all necessary academic transcripts, diplomas, and other supporting documents to universityadmissions.se by the specified deadline.
3. Apply for KTH Scholarship (Optional)If eligible and interested, apply for the KTH Scholarship when applications open. Your programme application documents will be used for evaluation. Ensure your programme application is your first priority.
4. Await Admission and Scholarship DecisionsKTH will review your application for admission and scholarship. Decisions are typically released by a specific date.
5. Accept Offer and Prepare for EnrollmentIf offered admission, formally accept your place and follow instructions for enrollment, visa applications (if applicable), and preparing for your move to Stockholm.
Scholarships
KTH ScholarshipCovers full tuition fee
Frequently asked questions
What are the entry requirements for the MSc Machine Learning programme?
+
You need a Bachelor's degree equivalent to at least three years of study from an accredited university, with a strong academic record in a relevant field like computer science, engineering, mathematics, physics, or statistics. Specific course prerequisites may also apply.
How much does the MSc Machine Learning programme cost for international students?
+
Tuition fees apply to non-EU/EEA students. Specific amounts are not detailed on the programme page, but KTH does offer merit-based scholarships that can cover the full tuition fee.
What is the duration of the MSc Machine Learning programme?
+
The programme is a two-year Master of Science, totalling 120 ECTS credits, and includes a dedicated degree project in the final semester.
In what language is the MSc Machine Learning programme taught?
+
The entire programme, including all courses and materials, is taught in English.
How can I apply for the MSc Machine Learning programme and scholarships?
+
International applicants must apply through universityadmissions.se between October and January. If eligible and interested, you can apply for the KTH Scholarship during its application period, using the same documents submitted for your programme application.
What are the career prospects after completing the MSc Machine Learning programme?
+
Graduates are highly sought after for roles such as Software Developer, Data Scientist, Deep Learning Engineer, and Quantitative Analyst in various companies and startups, particularly within Stockholm's tech scene.