KTH ROYAL INSTITUTE OF TECHNOLOGY · SWEDEN
Master's Programme in Computer Science
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
The two-year Master's Programme in Computer Science at KTH equips students with advanced knowledge and skills in a rapidly evolving field. The program is structured into three terms of coursework, followed by a dedicated term for the master's degree project. Each term comprises approximately 30 ECTS credits, offering a comprehensive and intensive learning experience. Students can specialize in various tracks, including Cognitive Systems (with subtracks in Vision and Robotics, or Conversational Systems), Data Science (with subtracks in Machine Learning or Natural Language Processing), Interaction Design, and Parallel Computation (with subtracks in High Performance Computing, Quantum Computing, or Computational Science). This specialization allows students to tailor their education to their specific interests and career aspirations within computer science.
Curriculum
The programme is divided into three terms of courses and a final term for the master's degree project. Each term typically consists of 30 ECTS credits. Students choose a specialization track and take mandatory courses within that track, along with conditionally elective courses.
- Year 1
- Introduction to the Philosophy of Science and Research Methodology for Computer ScientistsDA2210
- Program Integrating Course in Computer ScienceDD2300
- Artificial IntelligenceDD2380
- Computer SecurityDD2395
- Advanced AlgorithmsDD2440
- Protocols and Principles of the InternetIK2218
Frequently asked questions
- What are the entry requirements for the Master's Programme in Computer Science?
- You need a Bachelor's degree or equivalent with a strong foundation in computer science and mathematics. Specific prerequisites for the Cognitive Systems and Data Science tracks include SF1626 Calculus in Several Variable, 7.5 credits, or an equivalent course.
- How do I apply for the Master's Programme in Computer Science?
- You must first apply through the central Swedish university admissions portal, Universityadmissions.se. For the KTH Scholarship, a separate application is required during its specific application period. Ensure you submit all necessary documents by the deadline, typically February 2nd.
- What is the duration of the programme and how is it structured?
- The Master's Programme in Computer Science is a two-year programme. It is structured into three terms of coursework, followed by a dedicated term for the master's degree project. Each term typically consists of 30 ECTS credits.
- Are there any scholarship opportunities available?
- Yes, KTH offers the KTH Scholarship for Master's programmes, which can cover the full tuition fee for one or two years, provided satisfactory results are maintained. To be eligible, you must be a fee-paying student and have applied for the Master's programme as your first priority.
- What are the tuition fees for this programme?
- Application and tuition fees are required for some students. Specific tuition fee information for international students is not available on the provided pages, but the KTH Scholarship can cover the full tuition fee.
- Can I specialize in specific areas within Computer Science?
- Yes, the program allows specialization in various tracks, including Cognitive Systems, Data Science, Interaction Design, and Parallel Computation. These tracks offer subtracks such as Machine Learning, Natural Language Processing, High Performance Computing, and Quantum Computing, among others.
Entry requirements
Bachelor's degreeA Bachelor's degree or equivalent from a recognized university, with a strong foundation in computer science and mathematics.
Prerequisites for Cognitive Systems trackSF1626 Calculus in Several Variable, 7.5 credits (or equivalent).
Prerequisites for Data Science trackSF1626 Calculus in Several Variable, 7.5 credits (or equivalent).
Students who have previously completed courses equivalent to specific mandatory courses (DD2380, DD2395, IK2218, DD2440) may apply to take a replacement course. This replacement course must be at least 6 credits, advanced level, broad in computer science, not part of the chosen track, and its subject matter must not be too close to other compulsory courses. The application for a replacement course requires approval from the programme director and master coordinator. Specific prior courses (e.g., from CINTE or CDATE) may also affect course selections or require specific mandatory courses. Some courses may be offered every two years.
Fees
Tuition (international)Information not available on the provided pages. KTH does not offer scholarships for Bachelor's programmes, but does offer scholarships for Master's programmes.
Tuition (home)Information not available on the provided pages.
LivingInformation not available on the provided pages.
Application and tuition fees are required for some students. KTH offers scholarships for Master's programmes.
How to apply
1. Check Eligibility and Entry RequirementsEnsure you meet the general and specific entry requirements for the Master's Programme in Computer Science, including academic background and English proficiency.
2. Apply for the Master's ProgrammeSubmit your application for the Master's Programme in Computer Science through Universityadmissions.se during the application period. You must apply for the programme as your first priority to be eligible for the KTH Scholarship.
3. Submit Required DocumentsUpload all necessary academic transcripts, diplomas, CV, and other supporting documents to Universityadmissions.se by the specified deadline (e.g., 2 February).
4. Apply for the KTH Scholarship (Optional)If eligible and interested, submit a separate application for the KTH Scholarship during its application period. The scholarship application will use the documents submitted for your programme application. Focus on academic excellence and your motivation to contribute to sustainable development.
5. Pay Application FeeIf required for your country of origin, pay the application fee to confirm your application.
6. Await Admission and Scholarship DecisionsAdmissions decisions and scholarship award notifications are typically released in spring.
Scholarships
KTH ScholarshipCovers full tuition fee for one or two years (provided satisfactory results in the first year).
Frequently asked questions
What are the entry requirements for the Master's Programme in Computer Science?
+
You need a Bachelor's degree or equivalent with a strong foundation in computer science and mathematics. Specific prerequisites for the Cognitive Systems and Data Science tracks include SF1626 Calculus in Several Variable, 7.5 credits, or an equivalent course.
How do I apply for the Master's Programme in Computer Science?
+
You must first apply through the central Swedish university admissions portal, Universityadmissions.se. For the KTH Scholarship, a separate application is required during its specific application period. Ensure you submit all necessary documents by the deadline, typically February 2nd.
What is the duration of the programme and how is it structured?
+
The Master's Programme in Computer Science is a two-year programme. It is structured into three terms of coursework, followed by a dedicated term for the master's degree project. Each term typically consists of 30 ECTS credits.
Are there any scholarship opportunities available?
+
Yes, KTH offers the KTH Scholarship for Master's programmes, which can cover the full tuition fee for one or two years, provided satisfactory results are maintained. To be eligible, you must be a fee-paying student and have applied for the Master's programme as your first priority.
What are the tuition fees for this programme?
+
Application and tuition fees are required for some students. Specific tuition fee information for international students is not available on the provided pages, but the KTH Scholarship can cover the full tuition fee.
Can I specialize in specific areas within Computer Science?
+
Yes, the program allows specialization in various tracks, including Cognitive Systems, Data Science, Interaction Design, and Parallel Computation. These tracks offer subtracks such as Machine Learning, Natural Language Processing, High Performance Computing, and Quantum Computing, among others.