Overview
You will learn to design, build and operate distributed data systems, cloud platforms and computing infrastructure for large-scale applications. The Scalable Computing Systems programme from KTH Royal Institute of Technology prepares you to develop reliable and efficient systems that can handle growing demands for data and AI computations at machine scale that refuse to fail.
Modern society depends on large-scale digital infrastructure. Cloud platforms, AI services, data centres and communication networks process vast amounts of data every second and must remain reliable, secure and efficient as they grow in scale and complexity.
The master's programme in Scalable Computing Systems focuses on the design, deployment and operation of these systems. Rather than focusing on AI algorithms themselves, the programme explores the computing platforms, distributed systems, and network infrastructures that enable large-scale AI and digital services. You will develop the knowledge needed to design systems that can support millions of users, large-scale data processing and increasingly demanding AI workloads.
Future and career
The demand for engineers who can design, deploy and operate large-scale computing systems continues to grow rapidly. As AI services, cloud platforms and digital infrastructures become increasingly important across industries, organisations need engineers who understand how to build systems that are scalable, reliable and efficient.
Graduates are prepared for careers in cloud computing, AI infrastructure, distributed systems, software platforms, cybersecurity and digital infrastructure. Depending on your chosen track, you may work with large-scale computing systems, AI deployment platforms, distributed software systems, network infrastructures or system reliability.
Typical roles include AI Infrastructure Engineer, ML Infrastructure Engineer, Data Platform Engineer, Site Reliability Engineer, DevOps Engineer, Verification Engineer, Compiler Engineer, Distributed Systems Engineer, Cloud Infrastructure Engineer and Network Engineer. The programme also provides a strong foundation for doctoral studies at KTH and other universities worldwide.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Networked Systems for Machine Learning
- Network Systems with Edge or Cloud Datacenters
- Distributed Systems Advanced
- Advanced Distributed Systems
- Queuing Theory
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Stockholm, Sweden
Disciplines
Computer Sciences Web Technologies & Cloud Computing Information Systems View 9 other Masters in Web Technologies & Cloud Computing in SwedenExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Academic qualifications from an internationally recognised university equivalent to a Swedish bachelor's degree.
- You can meet the requirement if you are in the final year of your bachelor's studies. Students at universities abroad must submit documents according to the instructions from University Admissions. Students at Swedish universities must have completed 150 credits in their programme by 1 February per the instructions from KTH.
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Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents180000 SEK / year≈ 180000 SEK / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
Citizens of an EU/EEA country or Switzerland are not required to pay application and tuition fees.
Living costs
Stockholm
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Scalable Computing Systems.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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